US 10,116,134 Systems and methods for determining and utilizing customer energy profiles for load control for individual structures, devices, and aggregation of same
4 defendants · 4 suits · updated October 6, 2026
Also cited as U.S. Patent No. 10,116,134 · US10116134B2 · US 10,116,134 B2 · 10116134 · the '134 patent
Causam Enterprises, Inc. has filed 4 patent-infringement suits on US 10,116,134, "Systems and methods for determining and utilizing customer energy profiles for load control for individual structures, devices, and aggregation of same" since May 26, 2026, all in the D. Md., against 4 distinct defendants including Baltimore Gas and Electric Company, Delmarva Power & Light Company and Potomac Electric Power Company. The patent was granted October 30, 2018 on a priority date of August 28, 2007. Its abstract opens: "A system and method for creating and making use of customer profiles, including energy consumption patterns."
- Assignee
- Causam Enterprises Inc
- Priority date
- August 28, 2007
- Granted
- October 30, 2018
- Expires
- August 28, 2027
- Status
- Active
- Claims
- 25 (2 independent)
- Inventors
- Joseph W. Forbes, Jr.
- Full text
- Google Patents
The suits
4 cases · D. Md. (4)
| Filed | Defendant | Plaintiff | Court | Docket |
|---|---|---|---|---|
| 2026-05-26 | Baltimore Gas and Electric Company | Causam Enterprises, Inc. | D. Md. | 8:26-cv-02075 |
| 2026-05-26 | Delmarva Power & Light Company | Causam Enterprises, Inc. | D. Md. | 8:26-cv-02077 |
| 2026-05-26 | Potomac Electric Power Company | Causam Enterprises, Inc. | D. Md. | 8:26-cv-02072 |
| 2026-05-26 | Southern Maryland Electric Cooperative, Inc. | Causam Enterprises, Inc. | D. Md. | 8:26-cv-02076 |
Docket links open the public record on CourtListener. Filing dates are the complaint's.
Independent claims
What is actually asserted, verbatim.
1. A method for determining and using customer energy profiles to manage electrical load control events on a communications network between a server in communication with an electric grid operator or any market participant associated with an electric power grid and a plurality of customers at a plurality of service points, comprising: generating, a plurality of customer profiles for the plurality of customers, wherein each customer profile comprises at least energy consumption information for a plurality of controllable energy consuming devices at the plurality of service points, wherein the plurality of controllable energy consuming devices include a plurality of controllable temperature control devices or building control systems; storing the plurality of customer profiles in a database for use in load control events; aggregating the plurality of customer profiles into at least one aggregate customer profile based on at least one predetermined criterion; generating a candidate list of service points for load control events based on the at least one predetermined criterion; sending a load control event to at least one service point selected from the candidate list of service points in response to an energy reduction request including a target energy savings received from the electric grid operator or any market participant associated with the electric power grid via the communications network; determining an energy savings for the plurality of controllable energy consuming devices resulting from a reduction in consumed power associated with the load control event at the at least one service point, wherein the energy savings is determined based on a monetary supply equivalent value for each of the plurality of controllable energy consuming devices, wherein each monetary supply equivalent value is a measurement and a verification of the reduction in consumed power by each of the plurality of controllable energy consuming devices, wherein the monetary supply equivalent value is a curtailment value as a supply accepted by governing entities for awarding the plurality of customers; and determining the resulting energy savings is at least equal to the target energy savings.
19. A system for determining and using customer energy profiles to manage electrical load control events on a communications network between a server in communication with an electric grid operator or any market participant associated with an electric power grid and a plurality of customers at a plurality of service points, comprising: a memory storing a database containing a plurality of customer profiles for load control events wherein each customer profile includes at least energy consumption information for a plurality of controllable temperature control devices at the plurality of service points; a server processor, cooperative with the memory, and configured for managing the load control events on the communications network to the plurality of service points by: generating a plurality of customer profiles for the plurality of customers; aggregating the plurality of customer profiles into at least one aggregate customer profile based on at least one predetermined criterion; generating a candidate list of service points for load control events based on the at least one predetermined criterion; sending a load control event to at least one service point selected from the candidate list of service points in response to an energy reduction request including a target energy savings received from the electric grid operator or any market participant associated with the electric power grid via the communications network; determining an energy savings for the plurality of controllable temperature control devices resulting from the load control event at the at least one service point, wherein the energy savings is determined based on a monetary supply equivalent value for each of the plurality of controllable temperature control devices, wherein each monetary supply equivalent value is a measurement and a verification of the reduction in consumed power corresponding to each of the plurality of controllable temperature control devices, wherein the monetary supply equivalent value is a curtailment value as a supply accepted by governing entities for awarding the plurality of customers; determining the resulting energy savings is at least equal to the target energy savings.
Art before the examiner
311 references of record.
Everything listed here was before the Office and is what a challenge must go beyond. Art the examiner never saw is where an invalidity search starts.
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Classification
- G06Q10/00primary — Administration; Management
- H02J3/00primary — Circuit arrangements for AC mains or AC distribution networks
- G05B15/02 — Systems controlled by a computer electric
- G06Q30/0201 — Market modelling; Market analysis; Collecting market data
- H02J2003/003
- H02J2003/143
- H02J2105/42 — Home appliances
- H02J3/003 — Load forecast, e.g. methods or systems for forecasting future load demand
- H02J3/14 — Arrangements for adjusting voltage in AC networks by changing a characteristic of the network load by switching loads on to, or off from, the networks, e.g. progressively balanced loading
- Y02B70/3225 — Demand response systems, e.g. load shedding, peak shaving
- Y02B90/20 — Smart grids as enabling technology in buildings sector
- Y04S10/54
- Y04S20/00 — Management or operation of end-user stationary applications or the last stages of power distribution; Controlling, monitoring or operating thereof
- Y04S20/222 — Demand response systems, e.g. load shedding, peak shaving
- Y04S50/14 — Marketing, i.e. market research and analysis, surveying, promotions, advertising, buyer profiling, customer management or rewards
Family
- US10116134B2 — B2 (2018)
- US9177323B2 — B2 (2015)
- US20120221163A1 — A1 (2012)
- US20150326016A1 — A1 (2015)
- US20180183237A1 — A1 (2018)
- US9899836B2 — B2 (2018)
- US20150154618A1 — A1 (2015)
- US20150303691A1 — A1 (2015)
- US10389115B2 — B2 (2019)
- US20190067940A1 — A1 (2019)
- US20210281068A1 — A1 (2021)
- US20210143637A1 — A1 (2021)
- US20210050721A1 — A1 (2021)
- US11025057B2 — B2 (2021)
- US20200067308A1 — A1 (2020)
- US10833504B2 — B2 (2020)
- US10985556B2 — B2 (2021)
- US11651295B2 — B2 (2023)
Abstract
A system and method for creating and making use of customer profiles, including energy consumption patterns. Devices within a service point, using the active load director, may be subject to control events, often based on customer preferences. These control events cause the service point to use less power. Data associated with these control events, as well as related environment data, are used to create an energy consumption profile for each service point. This can be used by the utility to determine which service points are the best targets for energy consumption. In addition, an intelligent load rotation algorithm determines how to prevent the same service points from being picked first each time the utility wants to conserve power.
Also asserted by Causam Enterprises, Inc.
- US 10,768,654 — Method and apparatus for actively managing electric power supply for an electric power grid (4 defendants)
- US 11,262,779 — Method and apparatus for actively managing electric power over an electric power grid (4 defendants)
- US 11,703,903 — Method and apparatus for actively managing electric power over an electric power grid (4 defendants)
- US 12,124,285 — System and methods for actively managing electric power over an electric power grid (4 defendants)
- US 12,386,375 — Method and apparatus for actively managing electric power over an electric power grid (4 defendants)
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