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Run your analysis now →Filing growth compares 2021 (41 records) with 2024 (28) — a three-year span. 2024 is the most recent year we treat as complete: publication lags filing by roughly 18 months, so 2025 onwards are still filling in and any growth rate that ends there would understate the field. Top-5 share is the combined record count of the five largest assignees divided by all 858 records in scope (CR5), not by the ranked leaders only.
This dataset tracks 858 patent families published between 2015 and mid-2026 that combine demand response or demand-side management concepts with an explicit control mechanism — a demand response controller, a load dispatch control scheme, or an aggregator control system. It captures the engineering layer that sits between a grid signal and a device response, not general smart-grid metering or tariff design on its own.
Filing offices skew heavily toward the United States and China, with the EPO, WIPO/PCT, Canada and Japan each contributing smaller but active shares, indicating the technology is being protected across multiple major markets rather than concentrated in one jurisdiction.
Two views of the same 858-family dataset: how filing activity has moved year over year, and which IPC subclasses carry the claim volume.
Annual filings rose from 42 in 2017 to a peak of 49 in 2018, then eased toward 29 at the 2022 midpoint and continued lower into 2026. Because publication typically lags filing by around 18 months, the last one to two years of the trend will understate true filing activity, but the multi-year shape from 2018 to 2022 is a genuine plateau-then-decline, not an artefact of lag.
H02J (power supply and grid systems) accounts for 437 of 858 records, making grid-side control hardware and topology the single largest claim area by a wide margin. G06Q (business/commerce data processing, 194) and G05B (control and regulating systems, 138) point to a substantial software and optimisation-logic layer sitting on top of that hardware, while F24F (air conditioning, 110) and H05B (electric heating and lighting, 93) show device-level demand response is a well-populated but secondary front.
Shares are the percentage of the 858 records in scope. A patent can carry several IPC classes, so the shares add up to more than 100%.
This page is one run against one query. Ask Eureka your own question about demand response system control system and every answer comes back with the patent numbers behind it.
Try EurekaA demand response control result presentation apparatus is used in an energy consumption amount management system granting an incentive to a user of a facility device when the facility device performs a demand response control to adjust an energy consumption amount in response to a control request. The apparatus presents the control result of the demand response control performed by the facility device, including a control result acquiring unit and an incentive amount acquiring unit.Filed by Daikin Industries, granted 2019-04-23.


| # | Publication no. | Patent title | Citations |
|---|---|---|---|
| 1 | US20120080944A1 | Grid Shifting System for a Lighting Circuit | 753 |
| 2 | US20100017045A1 | Electrical demand response using energy storage in vehicles and buildings | 641 |
| 3 | US20110204720A1 | Efficient usage, storage, and sharing of energy in buildings, vehicles, and equipment | 596 |
| 4 | US20140001977A1 | Load Control System Having Independently-Controlled Units Responsive To A Broadcast Controller | 401 |
| 5 | US20090187499A1 | System, Method and Computer Program Product for Providing Demand Response Functionality | 383 |
| 6 | US20140001846A1 | Load Control System Having A Broadcast Controller With A Diverse Wireless Communication System | 374 |
| 7 | US20160305678A1 | Predictive building control system and method for optimizing energy use and thermal comfort for a building or… | 333 |
| 8 | US20090198384A1 | Electronic smart meter enabling demand response and method for demand response | 330 |
| 9 | US20170223807A1 | Cloud connected lighting system | 285 |
| 10 | US20120095601A1 | Dynamic Keypad for Controlling Energy-Savings Modes of a Load Control System | 243 |
Citation counts favour older filings simply by virtue of having had more years to accumulate citations inside this corpus; read them as a marker of foundational influence, not of current filing activity.
Each row carries its publication number; clicking a row searches Eureka by that number.
When you want the answer in the next five minutes.
The agent works the prompt against patents and technical literature, citing every source.
Run your analysis now →When it has to run inside your own pipeline.
Patent search, landscape analysis and assignee resolution as MCP tools. Drop them into any agent framework, or call REST directly.
Browse MCP servers →Three read-throughs from the trend, the IPC composition and the citation data.
Filings have not returned to the 2018 high in any subsequent year through the 2022 midpoint, and the trend continues lower into 2026. That is consistent with a technology whose core control architectures were staked out early, leaving later entrants to file around existing claims rather than establish new ground.
More than half the dataset touches H02J power-supply and grid-systems classifications, meaning new hardware-level dispatch or switching claims are likely to run into a crowded prior-art field. The G06Q and G05B counts show a meaningfully sized software/optimisation layer that has not been claimed as densely.
The five most-cited records in this corpus were all filed between 2009 and 2014, before the dataset's own filing window opens. Their high citation counts reflect years of accumulation, not that they represent the current competitive frontier — new filers are more likely to be building on, or working around, these older grants than competing directly against contemporaries.
Eureka can read the same corpus for gaps instead of for coverage: under-claimed branches adjacent to demand response system control system, with the prior art for and against each one.
Recent-year momentum across named assignees in this dataset points the same direction: activity has slowed broadly rather than shifting toward a new leader.
State Grid Corporation of China and the China Electric Power Research Institute co-hold the strongest co-assignee pairing in the dataset at 18 shared families, reflecting a grid-operator-plus-research-institute filing pattern typical of centrally coordinated infrastructure R&D.
Siemens Corp and its industrial-division counterpart co-file at a smaller but notable scale (8 families), and General Electric and Daikin appear independently as named assignees, but none of these shows momentum in the latest year.
Every assignee with visible recent-year momentum data in this dataset, from Lutron to Widen to Daikin to State Grid to Siemens Corp to General Electric, shows zero filings in the latest year. This is a slowing field across incumbents rather than one being actively contested by a rising challenger.
| Assignee | Recent year | YoY |
|---|---|---|
| Lutron Electronics | 0 | — |
| Widen Inc. | 0 | — |
| Daikin Industries, Ltd. | 0 | — |
| State Grid Corporation of China | 0 | -100% |
| SIEMENS CORP | 0 | — |
| General Electric Company | 0 | — |
| Toshiba Corporation | 0 | — |
| EnNOC, Inc. | 0 | — |
The trend and composition data point to specific next questions for an IP or R&D team working in this space.
G06Q and G05B together cover over 300 records but sit beneath H02J's 437 in volume; a targeted search on optimisation and dispatch-logic claims alone would show whether this layer is as crowded as the hardware base.
Explore in EurekaThe State Grid and China Electric Power Research Institute pairing suggests coordinated filing strategy among Chinese grid entities; understanding that network matters for freedom-to-operate assessments in that jurisdiction.
Explore in EurekaThe highest-cited records predate this dataset's window; a claim-by-claim read of those grants clarifies what later filers were designing around, rather than relying on citation count alone.
Explore in EurekaThis dataset counts 858 patent families published between 2015 and mid-2026 that combine demand response or demand-side management concepts with an explicit control mechanism, such as a demand response controller or an aggregator control system. That figure covers families rather than raw document counts, which is the fairer unit since it neutralises duplicate continuation and multi-jurisdiction filings of the same invention. The true figure for the most recent one to two years is understated because publication typically lags filing by around 18 months.
No, not on this data. Filings peaked at 49 in 2018, eased to 29 by the 2022 midpoint, and the trend continues lower into 2026. Recent-year momentum figures for the most active named assignees, including State Grid, Siemens Corp, Daikin and General Electric, all show zero filings in the latest tracked year, which points to a plateaued or cooling field rather than one still expanding.
H02J, covering power supply and grid systems, is the largest classification by a wide margin at 437 of 858 records, more than double the next largest category. G06Q (business and administrative data processing, 194) and G05B (control and regulating systems, 138) form a substantial secondary layer covering the optimisation and dispatch-logic side of these systems, while F24F (air conditioning) and H05B (electric heating and lighting) show device-level applications are also well represented.
Named assignees with notable activity in this dataset include State Grid Corporation of China (often co-filing with the China Electric Power Research Institute), Siemens Corp, Daikin, General Electric, Lutron and Widen. The strongest co-assignee relationship in the dataset is the State Grid and China Electric Power Research Institute pairing at 18 shared families. None of these assignees shows filing activity in the latest recorded year, so leadership here reflects accumulated portfolio position rather than current filing pace.
Relative to the dense H02J grid-hardware claim base, areas such as aggregator-to-device settlement protocols, real-time incentive calculation logic, cross-building load-shifting coordination and control-result verification and reporting appear comparatively thin. These are technically specific sub-areas rather than the broad grid-control space, and a first claim there would need to specify the exact control-loop or data-exchange mechanism to differentiate from the existing dense prior art in adjacent hardware classifications.
Go past this page: query the whole demand response system control system corpus yourself, in your own scope.
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Disclaimer. This page is generated from Patsnap Eureka data drawn from a limited snapshot of global patent and scientific-literature records, and is provided for general information and reference only.
Patent data carries inherent limitations: recent filings (typically the most recent 18–24 months) are under-counted due to standard publication lag; counts may be reported at either a patent-family or a patent-record basis and are not always directly comparable; classification, applicant-name, and citation data may contain errors, duplicates, or omissions; and the underlying search query defines and constrains the scope shown. As a result, the analysis may be incomplete or inaccurate and may not reflect the full technology landscape.
Nothing on this page constitutes an exhaustive prior-art, novelty, freedom-to-operate, or validity search, nor does it constitute legal, financial, investment, or professional advice, and it should not be relied upon as such. Any patent, commercial, or strategic decision should be verified independently and reviewed with qualified patent, legal, and domain professionals. Patsnap makes no warranties, express or implied, as to the accuracy, completeness, or fitness for any particular purpose of the information presented.
Machine translation. Assignee and organisation names originally recorded in Chinese, Japanese or Korean have been rendered into English by an AI translation step so that the tables stay readable. These renderings are best-effort and may not match a company's registered English name; the original name is what the underlying patent record carries, and it is what any Eureka query launched from this page uses.