Demand Response Forecasting Patents: Leaders & Trends 2026
Filing growth compares 2021 (109 records) with 2024 (110) — 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 1,605 records in scope (CR5), not by the ranked leaders only.
What the demand response forecasting patent record shows
Demand response forecasting sits at the intersection of grid operations and predictive analytics: patents in this set describe methods for predicting load flexibility, consumption shifts and price-responsive demand, then acting on those predictions. The dataset covers 1,605 published records from 2015 through the 2026 cut-off, drawn from a search string that requires demand, response and forecasting to co-occur in the technical content. The classification mix leans heavily toward data processing and AI rather than switchgear or metering hardware, which tells you where the claim activity is actually happening.
No single company controls this space. The leading assignee holds 47 records against a ranked field of 100 companies, and the next several places drop off quickly — a pattern that rewards close reading of specific claim scope rather than simply avoiding one incumbent's portfolio.
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Filing trend and technology composition
Two views of the same 1,605 records: how filing activity has moved year over year, and which IPC subclasses carry the underlying technology.
Filing trend, 2017–2026
Annual filings rose from 82 in 2017 to a peak of 201 in 2025, with 103 recorded so far in 2026. Between 2021 (109) and 2024 (110) — the last year publication lag lets us treat as complete — filings grew just 1%, a plateau rather than an acceleration. Treat 2025 and 2026 as still filling in rather than as evidence of a fresh surge.
IPC subclass composition
G06Q (business, commerce & admin data processing) appears in 59.1% of the 1,605 records, well ahead of G06F (22.4%), G06N (22.2%) and H02J power-and-grid systems (20.7%). H04L digital transmission (11.4%), G05B control systems (8.5%), H04W wireless (4.1%) and G16H healthcare informatics (3.2%) round out the mix. Because records can carry multiple classes, these shares add to more than 100% and should be read individually against the full record count, not against each other.
Shares are the percentage of the 1,605 records in scope. A patent can carry several IPC classes, so the shares add up to more than 100%.
Go deeper on Demand Response & Flexible Loads: Demand Response Forecasting Patent Landscape with Eureka
This page is one run against one query. Ask Eureka your own question about demand response & flexible loads: demand response forecasting patent landscape and every answer comes back with the patent numbers behind it.
Try EurekaA representative filing and the most-cited prior art
US11568429B2 — Demand forecasting method and demand forecasting apparatus
A demand forecasting method and a demand forecasting apparatus are provided. A preliminary prediction amount corresponding to a part number is obtained based on historical demand data. A demand probability of the part number is calculated based on the preliminary prediction amount. A prediction demand amount corresponding to the part number is obtained based on the historical demand data, the preliminary prediction amount and the demand probability.Filed by Wistron Corporation, granted 2023-01-31 — a two-stage forecasting method that layers a probability calculation on top of a preliminary prediction before producing a final demand figure.
| # | Publication no. | Patent title | Citations |
|---|---|---|---|
| 1 | US20080120129A1 | Consistent set of interfaces derived from a business object model | 2,470 |
| 2 | US20170235848A1 | System and method for fuzzy concept mapping, voting ontology crowd sourcing, and technology prediction | 1,473 |
| 3 | US20110046792A1 | Energy Management System And Method | 795 |
| 4 | US20030171851A1 | Automatic energy management and energy consumption reduction, especially in commercial and multi-building sys… | 628 |
| 5 | US20110231320A1 | Energy management systems and methods | 525 |
| 6 | US20070067267A1 | Systems and methods for managing the display of sponsored links together with search results in a search engi… | 504 |
| 7 | US20060294238A1 | Policy-based hierarchical management of shared resources in a grid environment | 394 |
| 8 | US20040093296A1 | Marketing optimization system | 387 |
| 9 | US11487273B1 | Distributed industrial energy operation optimization platform automatically constructing intelligent models a… | 376 |
| 10 | US20220187847A1 | Robot Fleet Management for Value Chain Networks | 341 |
Citation counts favour older filings simply because they have had longer to accumulate citations inside this searched corpus — read them as a signal of influence on the field's vocabulary, not as a ranking of current technical importance.
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Four read-throughs of the same dataset, aimed at where to file, who to track and what the trend actually supports.
No single gatekeeper
The leading assignee holds 47 records and the top 5 combined account for 9.6% of all 1,605 records in scope. That is a genuinely fragmented field for a technology this actively filed — freedom-to-operate work has to look past any one portfolio.
A plateau, not a slowdown
Filings moved from 109 in 2021 to 110 in 2024 — essentially flat over three years, after climbing from 82 in 2017. The 2025 figure of 201 looks like a spike but is still filling in under publication lag, so it should not yet be read as renewed acceleration.
This is a software claim space
G06Q business-data-processing carries the majority of records, well ahead of grid-hardware class H02J at 20.7%. Forecasting logic, not switchgear, is where the claim density sits — and where a new entrant is most likely to run into crowded prior art.
Filing is US- and India-led
The United States (608) and India (355) lead receiving offices, ahead of WIPO PCT filings (168) and Europe (127). A strategy built only around US and EPO coverage would miss where a large share of this activity is actually being filed.
Eureka can read the same corpus for gaps instead of for coverage: under-claimed branches adjacent to demand response & flexible loads: demand response forecasting patent landscape, with the prior art for and against each one.
Where to take this next
The dataset points to a fragmented, software-heavy field with a flat recent growth curve — the next step is usually claim-level, not portfolio-level.
Map claim scope against the leading assignees
With no single company holding more than a small slice of records, freedom-to-operate analysis needs to check several portfolios in parallel rather than one incumbent.
Explore assignee portfolios in EurekaTrack the G06Q / G06N overlap
The heaviest classification overlap sits between business-process forecasting and AI-model claims — a useful lens for spotting which recent filings are actually novel.
Run a classification overlap search in EurekaWatch India and PCT filings alongside the US
India's 355 records and WIPO's 168 PCT filings are large enough that a US-only watch will miss meaningful activity.
Set up a multi-jurisdiction watch in EurekaCommon questions about demand response forecasting patents
The dataset used for this landscape contains 1,605 published records covering 2015 through the 2026 cut-off. This counts patent families rather than raw documents, which is the fairer unit because it neutralises repeated continuation filings and multi-jurisdiction duplicates of the same invention. The true figure for the most recent years will run higher once publication catches up, since publication typically lags filing by around 18 months.
The ranking covers 100 companies, with the leader holding 47 records and no single company dominating the field: the top 5 assignees combined hold only 9.6% of all 1,605 records in scope, and the top 10 combined reach 15.4%. That spread means due diligence needs to look across several portfolios rather than treating one company as the gatekeeper. Company names and exact rankings are rendered in the table above this section rather than repeated here.
Filings grew from 82 in 2017 to a plateau — 109 in 2021 and 110 in 2024, a rise of just 1% over that three-year span, which is the last period publication lag lets us treat as complete. The 2025 figure jumps to 201 and 2026 already shows 103, but both years are still filling in as more filings publish, so they should not be read as a renewed acceleration yet. The honest read is a maturing filing rate rather than a collapsing or a booming one.
The largest classification is G06Q, business and commerce data processing, appearing in 59.1% of the 1,605 records — a strong signal that most of the claimed value is in forecasting logic and market-facing processes rather than grid hardware. G06F electric digital data processing and G06N AI-model computing each cover roughly a fifth of records, and H02J power-and-grid systems sits at 20.7%. Since a single record can carry several IPC classes, these percentages add to more than 100% and should be read individually, not summed.
The classification data shows heavy density in G06Q and G06N but comparatively light coverage in H04W wireless networks (4.1%) and G16H healthcare informatics (3.2%), suggesting under-claimed intersections such as wireless-edge forecasting or healthcare-facility load prediction. The flat 2021-to-2024 filing growth also means the core forecasting-method claims are well-trodden, so differentiation is more likely at these class intersections than in a fresh core algorithm. Any white-space claim should be checked against the most-cited prior art in this space before drafting.
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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.