`_____________
`
`BEFORE THE PATENT TRIAL AND APPEAL BOARD
`_____________
`
`HONEYWELL INTERNATIONAL, INC.
`
`Petitioner
`
`v.
`
`ALLURE ENERGY, INC.
`
`Patent Owner
`_____________
`
`Case No. IPR2016-___
`Patent No. 8,509,954
`
`PETITIONER’S EXHIBIT NO. 1001
`
`
`
`UNITED STATES PATENT AND TRADEMARK OFFICE
`_____________
`
`BEFORE THE PATENT TRIAL AND APPEAL BOARD
`_____________
`
`HONEYWELL INTERNATIONAL, INC.
`
`Petitioner
`
`v.
`
`ALLURE ENERGY, INC.
`
`Patent Owner
`_____________
`
`Case No. IPR2016-___
`Patent No. 8,509,954
`
`DECLARATION OF GEOFF WILLIAMSON
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`Honeywell 1001, Page 1
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`
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`TABLE OF CONTENTS
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`I.
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`II.
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`QUALIFICATIONS........................................................................................1
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`LEGAL STANDARDS...................................................................................5
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`III. MATERIALS REVIEWED ..........................................................................10
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`IV. ANALYSIS OF GALVIN IN VIEW OF KANSAL AND TRUNDLE .......15
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`V.
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`ANALYSIS OF EHLERS IN VIEW OF IVANG AND NAGEL................47
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`VI. ADDITIONAL REMARKS..........................................................................70
`
`i
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`Honeywell 1001, Page 2
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`I, Geoff Williamson, declare:
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`I make this declaration based on my personal knowledge and what was
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`known by one skilled in the art prior to early 2009. If called upon to testify as to
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`the truth of the facts set forth in this declaration, I could and would do so
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`competently. I have been retained by Honeywell International Inc.
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`(“Petitioner” or “Honeywell”) to provide this declaration relating to a petition
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`by Honeywell for inter partes review of U.S. Patent 8,509,954 (“the ‘954
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`patent”), owned by Allure Energy, Inc.
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`I. QUALIFICATIONS
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`[001] A copy of my curriculum vitae is attached at the end of this
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`declaration. I have 30+ years of experience working in the areas of energy,
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`efficiency, control systems, alternative energy generation, and the Smart Grid. I
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`studied Mechanical Engineering with an emphasis on Heating, Ventilation, and
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`Cooling (HVAC) at Royal Melbourne Institute of Technology (now called “RMIT
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`University”) in 1981. Prior to this I received trade qualifications in the field of
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`HVAC and refrigeration.
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`[002] I initially worked for about 15 years in Australia as a sales engineer
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`and business unit manager for Email Limited (Australia), Johnson Controls
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`Australia Limited, and Honeywell Australia Limited. During that time, I became
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`familiar with control systems, including temperature control systems for buildings,
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`Honeywell 1001, Page 3
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`and the needs of customers for such systems. Such systems included thermostat-
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`mediated control as a primary interface between the users and the systems.
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`[003] After having moved to the United States, I joined CellNet Data
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`Systems in California. At CellNet Data Systems, I worked in business development
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`and network application, where I was the principal manager involved in what has
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`generally been described as the first wireless 2-way deployment of Internet
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`connected thermostats by a utility into residential locations for demand
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`management and price of supply driven usage management in North America. I
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`then worked in business development for Sage Systems, which was a start-up
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`company focused on leveraging residential demand side energy capacity for use by
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`the electricity distribution market. That work generally related to efforts to
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`communicate the benefits of Sage’s technology, which permitted over-the-Internet
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`and wireless control of thermostats. I then became vice-president of business
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`development for an incubator group within Invensys PLC, which was developing
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`advanced energy demand response systems and services for the energy distribution
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`and supply markets of North America and Europe. In that role, I worked with
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`partners to push the adoption of smart home technology for energy use. That work
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`launched a precursor to the Advanced Metering Infrastructure (AMI), now Smart
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`Grid with the California Public Utilities Commission. This work gave me further
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`experience in understanding the needs of both energy producers and energy users,
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`and the capabilities of technologies for meeting those needs.
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`[004] In 2005, I started a consulting firm that helped evaluate the
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`commercial viability of new technologies, focused on communications systems
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`and their applications to energy, efficiency, and the environment. My clients
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`during this time included Nivis, Control4, Energate, and Trilliant, which are
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`wireless network and premises control companies. I ultimately left to work for one
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`client, Trilliant Inc., which developed a smart energy distribution platform to help
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`energy producing and distributing companies obtain information about energy
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`usage by their customers, essentially at the middle of the so-called Smart Grid.
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`[005] In early 2009 I returned to consulting, with a focus on clean tech and
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`the Smart Grid. In that role, I helped a number of companies understand consumer
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`needs and viability of products in the areas of home automation, demand response,
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`distributed controls networks, thermostat operation and usage, and other related
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`technologies. Of note was the engagements I had with Energate, a smart thermostat
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`company based in Ontario, Canada and active across all of North America
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`primarily with regards to energy utilities and their demand response and dynamic
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`pricing programs, and with Control4, and their progression from home automation
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`into demand response and energy management. More recently, I have worked for a
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`company developing extremely low resistance materials to increase the efficiency
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`of generation, distribution, and use of electricity. I am also the founding CEO of a
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`company developing a solid state “turbine on a chip” as a disruptive new way to
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`generate electricity. I currently serve on the advisory board for a company called
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`CandiControls, which focuses on enabling the “internet of things” as applicable to
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`premises control and management.
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`[006] Presently I am a member of Innovation Australia, a government-
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`funded network of technical and business experts that mentors Australian start-up
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`companies. Expert Mentors like myself are matched based on our background and
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`experience, and we invest time on a voluntary basis to share know-how, insights,
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`experience, and business connections with Australian businesses and researchers
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`seeking to commercialize novel intellectual property.
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`[007] During my years with Sage and Invensys, I was active with the
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`Internet Home Alliance and with an organization that is now called the Zigbee
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`Alliance. I was the Sage company representative for the Internet Home Alliance at
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`the time of its creation, and I worked with it to demonstrate the connectivity of
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`devices such as thermostats to the Internet and to other thermostats over wireless
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`networks.
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`[008] Based upon my knowledge and experience with energy control
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`systems, I am aware of the needs and the challenges faced in producing automation
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`products that are well-liked by users and that can be employed to reduce energy
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`usage, particularly by early 2009. I routinely discussed the needs of energy users
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`and energy producers with those parties, and the manners in which new
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`technologies could be used to meet those needs. I also worked with others who
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`were architecting and developing systems to meet those needs, and had detailed
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`conversations with these individuals about their work on those systems. I am also
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`very familiar with the terminology of energy generation, distribution, and control,
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`and of home automation at the time.
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`II. LEGAL STANDARDS
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`[009] In preparing my analysis, I have applied the legal standards described
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`below, which were provided to me by counsel for Honeywell.
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`[010] Proper Viewpoint: I understand that generally, the technical issues in
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`this proceeding are to be viewed from the perspective of a person having an
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`ordinary level of skill in the art at the time the invention was made (around late
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`2009). I understand the district court in the litigation between Allure and Nest1
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`generally determined (and the parties to the litigation agreed), at least
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`preliminarily, that such a person would have: a bachelor’s of science degree in
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`mechanical or electrical engineering and at least two years of experience in the
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`field of electronic and mechanical systems related to energy management and
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`1 Allure Energy, Inc. v. Nest Labs, Inc. et al, Case no. 9:13-cv-102 in the Eastern District of
`Texas.
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`Honeywell 1001, Page 7
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`control systems. I do not disagree with this definition, but note that in-home
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`automation is a type of control system. Additional education might substitute for
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`some of the experience, and substantial experience might substitute for some of the
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`educational background. I personally possess at least the level of skill of a person
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`of ordinary skill in the relevant art, and I can speak from the perspective of an
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`ordinarily skilled artisan. I have formulated my analysis on this matter based on
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`personal experience and what was considered standard by one skilled in the art
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`prior to late 2009.
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`[011] Construing Claim Terms: I understand that Honeywell bears the
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`burden of proving unpatentability by a preponderance of the evidence in a Patent
`
`Office proceeding. I understand that a validity determination involves first
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`construing the claims to determine the meaning they would have had to one of
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`ordinary skill in the art, and then applying them to the so-called prior art. I
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`understand the applicable claim construction standard in these proceedings requires
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`terms be given their “broadest reasonable interpretation” in light of the
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`specification, as they would be interpreted by one of ordinary skill in the art. I
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`understand that under a broadest reasonable interpretation, words of the claim must
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`be given their plain meaning, unless such meaning is inconsistent with the
`
`specification. The plain meaning of a term means the ordinary and customary
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`Honeywell 1001, Page 8
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`meaning given to the term by those of ordinary skill in the art at the time of the
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`invention.
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`[012] General Prior Art Invalidity: It is my understanding that a patent
`
`claim is invalid (a) if the claimed invention was known or used by others in the
`
`United States, or patented or described in a printed publication anywhere, before
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`the invention date; or (b) if the claimed invention was in public use or on sale in
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`the United States, or patented or described in a printed publication anywhere, more
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`than one year prior to the earliest priority date. For purposes of the current
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`proceeding, I understand that “prior art” in the form of printed publications and
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`patents or patent applications may be considered, but prior art in the form of public
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`knowledge and use, and sales may not be considered. I also understand that prior
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`art can take the form of a patent application filed prior to the priority date of the
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`‘954 patent. If the patent application was granted, then the original filing must
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`support at least one claim in the granted patent. For the purposes of my opinions
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`here, I assume that the ’954 patent is entitled to its earliest claimed priority date,
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`August 21, 2009.
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`[013] Anticipation Invalidity: It is my understanding that a claimed
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`invention is invalid as “anticipated” if each and every element of the claim has
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`been disclosed in a single prior art reference. It is my understanding that prior art is
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`defined by the patent statutes, and includes various categories of information. It is
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`Honeywell 1001, Page 9
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`my understanding that a printed publication is prior art with regard to a claimed
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`device or method if it was published more than one year prior to the earliest
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`priority date of the patent in question, or if it was published before the date of
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`invention of the device or method.
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`[014] Obviousness Invalidity: It is my understanding that a patent claim is
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`invalid as “obvious” if the differences between the patented subject matter and the
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`prior art are such that the subject matter as a whole would have been obvious at the
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`time the invention was made to a person having ordinary skill in the art. I
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`understand the ultimate conclusion of whether a claim is obvious should be based
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`upon several factual considerations. First, I must consider the level of ordinary
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`skill in the field that someone would have had at the time the claimed invention
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`was made. Second, I must consider the scope and content of the prior art. Third, I
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`must consider what difference, if any, existed between the claimed invention and
`
`the prior art. Importantly, I understand that I must be careful not to determine
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`obviousness using the benefit of hindsight and that many true inventions might
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`seem obvious after the fact.
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`[015] I understand that a patent claim composed of several elements is not
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`proved obvious merely by demonstrating that each of its elements was
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`independently known in the prior art. In evaluating whether such a claim would
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`have been obvious, I may consider whether I find a reason that would have
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`Honeywell 1001, Page 10
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`prompted a person of ordinary skill in the field to combine the elements or
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`concepts from the prior art in the same way as in the claimed invention. I
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`understand there is no single way to define the line between true inventiveness on
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`one hand (which is patentable) and the application of common sense and ordinary
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`skill to solve a problem on the other hand (which is not patentable). As one helpful
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`example, a combination of familiar elements operating according to known
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`methods is likely to be obvious when it yields predictable results. Also, if a person
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`of ordinary skill can implement a “predictable variation” in a prior art device, and
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`would see the benefit from doing so, such a variation is obvious. And, I may also
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`consider whether there is some teaching or suggestion in the prior art to make the
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`modification or combination of elements claimed in the patents-in-suit. Moreover,
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`market forces or other design incentives may be what produced a change, rather
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`than true inventiveness. It is my understanding that I may consider whether the
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`change was merely the predictable result of using prior art elements according to
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`their known functions, or whether it was the result of true inventiveness. I
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`additionally should consider whether the innovation applies a known technique
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`that had been used to improve a similar device or method in a similar way. I may
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`also consider whether the claimed invention would have been obvious to try,
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`meaning that the claimed innovation was one of a relatively small number of
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`Honeywell 1001, Page 11
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`possible approaches to the problem with a reasonable expectation of success by
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`those skilled in the art.
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`[016] I further understand that the “teaching, suggestion, or motivation” test
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`(i.e., asking whether the prior art includes a “teaching, suggestion, or motivation”
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`to combine the prior art so as to achieve the claimed invention) is a useful guide in
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`establishing a rationale for combining elements of the prior art, though a claimed
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`invention can be obvious without it.
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`III. MATERIALS REVIEWED
`
`[017] In forming my opinions, I reviewed U.S. Patent 8,509,954 to Imes et
`
`al. (“the ‘954 patent”), relevant portions of its prosecution history and the
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`prosecution histories of related patents, and the following prior art references: (1)
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`U.S. Pub. No. 2010/0250590 to Galvin (“Galvin”), (2) U.S. Patent No. 7,953,518
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`to Kansal et al. (“Kansal”), (3) U.S. Patent No. 8,350,697 to Trundle et al.
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`(“Trundle”), (4) U.S. Patent Appl. No. 10/628,644 to Ehlers et al. (“Ehlers”), (5)
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`WIPO Patent Appl. No. 2009/036764 to Ivang et al. (“Ivang”), and (6) U.S. Patent
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`No. 8,406,933 to Nagel et al. (“Nagel”). I also have reviewed U.S. Prov. Appl. No.
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`61/179,224 to Trundle et al. (“the ‘224 Provisional”) and U.S. Prov. Appl. No.
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`61/234,963 to Nagel (“the ‘963 Provisional”), the sections cited below of the
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`Energy Policy Act of 2005 and Energy Independence and Security Act of 2007,
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`10
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`Honeywell 1001, Page 12
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`and Grayson C. Heffner and Charles A. Goldman, Demand Responsive Programs
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`– An Emerging Resource for Competitive Electricity Markets?.
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`[018] Based upon my knowledge and experience in this art and my review
`
`of these documents, I understand what the ‘954 patent would have described and
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`enabled to a person of ordinary skill in the art prior to the time of the alleged
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`priority date of the ‘954 patent (hereinafter “one skilled in the art” and similar
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`phrases). My findings, explained below, are based on my education, experience,
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`and background in energy control systems, and my study of the above documents.
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`[019] The claims of the ‘954 patent are directed to a “demand response
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`system.” Demand response systems are designed to identify energy capacity, and
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`compensate energy users for reducing appliance power usage during a given time
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`period. Demand response systems are used because electrical energy cannot easily
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`be stored on a large scale, and utility companies therefore try to balance supply and
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`demand in real time. Rather than simply add more generation capacity to meet
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`high energy demand, utility companies use demand response systems to control the
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`demand side and incentivize energy users to consume less energy.
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`[020] The focus of this declaration are claims 8–14 of the ‘954 patent. I
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`previously submitted a declaration in connection with a petition for inter partes
`
`review of claims 2–7 and 15 of the ‘954 patent. Claims 2–7 and 15 are directed to
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`the management of the “demand response system.” Claims 8–14 are directed to
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`Honeywell 1001, Page 13
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`the elements of the “demand response system.” Despite the difference in focus,
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`each of these claims essentially describe the same demand response system.
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`[021] Claims 8–14 of the ‘954 patent include a number of elements that are
`
`described as “modules.” Based on my review of the claims, the specification and
`
`the prosecution history, I understand that these “modules” are hardware, software,
`
`firmware, middleware, or another component of a computing system described at a
`
`high level. According to the specification:
`
`Embodiments [in the ‘954 patent’s specification] describe, in part,
`distributed computing solutions that manage all or part of a
`communicative interaction between network elements.
`.
`.
`. The
`communicative interaction between the network elements is not
`necessarily limited to only one specific form. A network element may
`be a node, a piece of hardware, software, firmware, middleware,
`another component of a computing system, or any combination thereof.
`. . . .
`[A]n energy management system can include memory, one or more
`processing resources or controllers such as a central processing unit
`(CPU) or hardware or software control logic. Additional components
`of the energy management system can include one or more storage
`devices, one or more wireless, wired or any combination thereof of
`communications ports to communicate with external devices as well as
`various input and output (I/O) devices, such as a keyboard, a mouse,
`pointers, controllers, and display devices. The energy management
`system can also include one or more buses operable to transmit
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`communications between the various hardware components, and can
`communicate using wireline communication data buses, wireless
`network communication, or any combination thereof.
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`Nothing in this paragraph nor in the rest of the ‘954 patent’s specification indicates
`
`where in the system each “module” resides. So, as described at various points in
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`this declaration, I interpret the “modules” in the system as hardware, software,
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`firmware, middleware, or another component of a computing system that is
`
`capable of performing the function recited in the claim.
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`[022] The energy industry has utilized demand response systems for
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`decades for both industrial and residential purposes. More recently, but well
`
`before the ‘954 patent, demand response was combined with “smart grid”
`
`technologies to provide flexible and real-time participation by energy users. Both
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`of these known concepts were later addressed in United States legislation in the
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`mid-2000s. The Energy Policy Act of 2005 was signed into law by President
`
`George W. Bush in August 2005, and sought to quantify the benefits of demand
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`response. Energy Policy Act, Section 1252, Smart Metering. The Energy
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`Independence and Security Act of 2007 was signed in to law by President George W.
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`Bush in December 2007, listing many attributes of existing “smart grids,” including
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`“[d]evelopment and incorporation of demand response, demand-side resources,
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`and energy-efficiency resources”; “[d]eployment of ‘smart’ technologies (real-
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`time, automated, interactive technologies that optimize the physical operation of
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`Honeywell 1001, Page 15
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`appliances and consumer devices) for metering, communications concerning grid
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`operations and status, and distribution automation. (6) Integration of ‘smart’
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`appliances and consumer devices. (7) Deployment and integration of advanced
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`electricity storage and peak-shaving technologies . . . ”; and “(8) Provision to
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`consumers of timely information and control options. (9) Development of
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`standards for communication and interoperability of appliances and equipment
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`connected to the electric grid, including the infrastructure serving the grid.” The
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`Energy Independence and Security Act of 2007, Title XIII, Smart Grid. At this
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`same time, I was developing smart grid products at Invensys that were responsive
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`to demand response events, and that based user participation on preferences,
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`including the location of the user. The energy industry has utilized demand
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`response systems for decades for both industrial and residential purposes. More
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`recently, but well before the ‘954 patent, demand response was combined with
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`“smart grid” technologies to provide flexible and real-time participation by energy
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`users. Examples of this can be found in a 2001 article by Dr. Grayson C. Heffner
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`and Charles A. Goldman. See Exhibit 1012.
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`[023] The Galvin, Kansal, Trundle, Ehlers, Nagel, and Ivang references
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`each describe systems that are used for demand response. The primary
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`references—Galvin and Ehlers—describe in detail robust demand response
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`systems, and how those systems depend on the preferences and location of a user
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`to determine whether a particular site will participate in a demand response event.
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`Likewise, Kansal and Nagel also describe demand response systems. Trundle and
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`Ivang also describe elements of demand response systems, but provide additional
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`detail how such systems can be used with the location-based applications of mobile
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`devices, such as smart phones.
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`IV. ANALYSIS OF GALVIN IN VIEW OF KANSAL AND TRUNDLE
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`[024] Galvin. Galvin discloses a system for managing electric power
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`demand among a large number of small users. Galvin discloses that “consumers
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`and small businesses participate voluntarily in supply (generation and storage) or
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`demand (consumption) management programs by establishing preferences.”
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`Exhibit 1004, at ¶ 20. Galvin’s “digital exchange receives preferences from a
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`plurality of exchange participants, and these preferences are used at least in part to
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`create response profiles relevant to the participants, and at least some of the
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`response profiles are aggregated into response packages with defined statistical
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`properties.” Id. at ¶ 14. Because Galvin’s system manages demand programs by
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`creating response packages with defined statistical properties, Galvin’s system is a
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`“demand response system,” as I understand the term using the broadest reasonable
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`interpretation.
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`[025] In order to create statistical properties for exchange participants,
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`Galvin has “consumers make their preferences concerning their willingness to
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`participate in energy management actions (that is, load reductions or provision of
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`power from generators or storage systems) on demand.” Id. at ¶ 23. Based on those
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`preferences, “all of the end users that make up the response package are sent
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`signals directing them to take the appropriate actions which they previously
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`volunteered to take.” Id.
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`[026] Based on my review of Galvin, one having ordinary skill in the art
`
`reading Galvin would understand that Galvin’s “Away” and “Home” profiles are
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`intended to be used based on whether a user is home or not. Galvin notes that
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`“preferences can be stated according to away or at home profiles, which can be
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`inferred or directly declared as is done with home security systems when a user
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`clicks ‘Away’ to tell the system he is leaving the house.” Id. at ¶ 45. When a user
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`is away, the user’s mobile phone—which is also away—can be used to change the
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`active, location based profile. See id. at ¶¶ 25, 35, 45. One having ordinary skill
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`would understand that Galvin included this feature as a location based service: the
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`user could change the active profile to reflect whether she is home or not. With
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`regard to inferring whether the user has left the house, Galvin discusses that “one
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`might be able to infer that a user is at home based on dynamic behavior of power
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`usage.” Id. Similarly, Galvin discusses that “if there has been usage of at least X
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`kwh in the two hours prior to the period of interest, then the user is likely at home”
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`and that a user may be “away, as inferred by lack of use in the earlier period.” Id.
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`Honeywell 1001, Page 18
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`at ¶ 19. Thus, based on my review of Galvin, one having ordinary skill in the art
`
`reading Galvin would understand that Galvin’s “Away” and “Home” profiles are
`
`intended to be used based on whether a user is home or not.
`
`[027] Kansal. Kansal also discloses a system and method for managing
`
`energy consumption in order to reduce energy costs. Kansal employs an “energy
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`manager” that “uses information such as energy price variation (e.g., demand
`
`response pricing), weather changes, and user’s presence/absence at home to control
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`the energy expenditure in a manner such that the desired comfort levels are
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`achieved with minimum cost.” Exhibit 1005, at 1:59–63. “The proposed system
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`thus helps reduce energy bills, helps utilities to reduce peak provisioning costs, and
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`helps protect the environment by reducing energy usage and production.” Id. at
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`5:40–43. Significantly, this demand response system can incorporate smart
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`phones. Id. at 4: 62–67.
`
`[028] Trundle. Trundle describes a mobile application that can reduce
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`home or business energy consumption by controlling network-connected
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`appliances. See Exhibit 1006, at 6:30–39. Trundle also discloses that the mobile
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`device application can “receive information related to utility company rates from
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`the monitoring application server 260, from another source on the Internet, or from
`
`a user entering information related to utility company rates (e.g., a user entering
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`monthly billing statements).” Id. at 13:42–45. This information can be presented
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`Honeywell 1001, Page 19
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`to a user so that she can make a decision about activating or deactivating
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`appliances. Id. at 13:45–63.
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`[029] Trundle also teaches control of appliances based on location
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`information gathered by a smart phone. According to Trundle,
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`[T]he method may include monitoring geographic location data of one
`or more users associated with the one or more monitored properties and
`inferring future occupancy status of the one or more users in the one or
`more monitored properties based on the monitored geographic location
`data. In these examples, the method may include determining an
`operation related to controlling the one or more energy consuming
`devices in the one or more monitored properties based on the inferred
`future occupancy status of the one or more users in the one or more
`monitored properties, and performing the determined operation related
`to controlling the one or more energy consuming devices.
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`Id. at 2:60–3:4. Trundle goes on to explain that a system can monitor a user’s
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`location data by means of a native application on the user’s mobile phone. The
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`native application can “track[] the mobile device’s physical location using GPS or
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`other location protocols built into device.” Id. at 13:20–22.
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`[030] Trundle’s effective § 102(e) date. Based on my review of the ‘224
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`Provisional, to which Trundle claims priority, one having ordinary skill in the art
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`would understand that the ‘224 Provisional’s specification discloses the subject
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`matter claimed in at least claim 1 of Trundle, which appears below.
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`Claim 1: A method for performing an operation related to
`controlling one or more energy consuming devices,
`the method
`comprising:
`monitoring sensor data captured by one or more sensors that sense
`attributes relevant to user presence at one or more monitored properties;
`monitoring status of one or more energy consuming devices
`associated with the one or more monitored properties;
`monitoring geographic location data of one or more users associated
`with the one or more monitored properties;
`inferring future occupancy status of the one or more users in the one
`or more monitored properties based on the monitored geographic
`location data and the monitored sensor data;
`determining an operation related to controlling the one or more
`energy consuming devices in the one or more monitored properties
`based on the inferred future occupancy status of the one or more users
`in the one or more monitored properties and the monitored status of the
`one or more energy consuming devices; and
`performing, using at least one processor, the determined operation
`related to controlling the one or more energy consuming devices.
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`The ‘224 Provisional’s specification discloses an operation related to controlling
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`an energy consuming device: turning on the lights in a home. Exhibit 1007, at 8.
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`The ‘224 Provisional’s specification also discloses monitoring sensor data captured
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`by one or more sensors that sense attributes relevant to user presence (using RFID
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`or cameras to sense when a person is in the home), id. at 3; monitoring status of an
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`energy consuming device (checking whether “lights remain on” before turning
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`them off), id. at 8; monitoring geographic location data (checking the location of a
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`mobile device periodically), id.; inferring future occupancy status based on the
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`monitored geographic location data and the monitored sensor data (detecting
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`whether the user is moving toward the home), id.; determining an operation related
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`to controlling the energy consuming device based on the inferred future occupancy
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`status and the monitored status of the energy consuming device (checking whether
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`the user has predetermined a function for returning to an unoccupied home), id. at
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`8–9; and performing the determined operation (turning on the lights). Id.
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`[031] Combining Galvin and Kansal. Both Galvin and Kansal are
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`engaged in the same field of endeavor, namely the controlling of energy
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`consuming appliances in order to maintain user preferences while reducing energy
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`use during periods of high demand. One having ordinary skill in the art would have
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`found reasons to combine the teachings of Galvin and Kansal as discussed below
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`in order to provide a more efficient and responsive system because the energy
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`management information would be received immediately from a utility (the one
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`entity that most naturally has access to such information) and would thus be
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`verified information.
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`[032] In addition, the detection of a location of a mobile device using global
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`positioning service (GPS) was traditionally used in prior art demand response
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`systems, as illustrated by Kansal. Exhibit 1005, at 4:46–5:9. A skilled artisan
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`reading Kansal would appreciate that Kansal’s GPS device is mobile device that
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`has a location determined by GPS technology. One having ordinary skill in the art
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`would have found reason to modify Galvin’s energy management system to use a
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`mobile GPS device, as illustrated by Kansal, or one or more of Kansal’s other
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`methods of detecting a user being disposed away from the site, in order to improve
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`the accuracy of Galvin’s determination of whether a user is home or away.
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`Moreover, one having ordinary skill in the art would have found reason to modify
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`Galvin’s teachings to include a location determination using a mobile GPS device
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`in order to alleviate a user from needing to click “hom