Fastest
Eureka on the web
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 →https://www.patsnap.com/resources/blog/rd-blog/microgrids-microgrid-energy-management-optimization-patent-landscape-patent-landscape/ · Patsnap · data cut-off 2026-07-31 · downloaded from the live page
Patent Landscape · Smart Grid & Power SystemsMicrogrid energy-management optimization patents: who's filing, what they claim, and where the field is still open
- 27.8% of all filings sit with five assignees, yet the ranked leader holds only 14 records out of 169 — concentration without outright dominance.
- H02J covers 75.1% of records and G06Q 30.2%, showing the field is still framed as power-systems engineering with a growing commerce/scheduling-data overlay.
- 2025 was the peak filing year at 18 records, but 2021-to-2024 growth reads as -8%, and 2025-2026 counts are still filling in under publication lag.
169
Published Records
28%
Top-5 Share of All Records
-8%
Filing Growth 2021→2024
CN
Leading Jurisdiction
Filing growth compares 2021 (13 records) with 2024 (12) — 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 169 records in scope (CR5), not by the ranked leaders only.
Published byPatsnap Research··7 min readSourced from Patsnap Eureka
Overview
What this landscape covers
This landscape tracks 169 published records filed against microgrid energy-management optimization, distributed energy scheduling and dispatch control, spanning 2015 through the 2026-07-31 cut-off. The search combines microgrid-specific management terms with system-architecture terms, so the corpus captures control and scheduling claims made specifically inside a microgrid or islandable power-system context rather than generic grid-optimization filings.
Filing offices skew heavily toward China and the United States, with India, WIPO/PCT, Canada and the EPO forming a smaller but active secondary tier. That office mix, combined with an IPC profile still centred on H02J power-supply and grid-systems classification, points to a technology still argued primarily as electrical engineering — even as G06Q-classified scheduling and commerce-adjacent claims take a growing share.
Filing activity by year and receiving office
Source: Patsnap Eureka. Assignee ranking and totals. Derived from a Patsnap search on Microgrids — Microgrid Energy-Management Optimization Patent Landscape covering 2015–2026, data cut-off 2026-07-31. Counts reflect published records only and shift as new filings publish.Run this in Eureka MCP
Let an AI agent run this analysis on your own technology
Pick a task. Every answer cites the patents behind it.
10,000 free credits to start
The data
Filing trend and technology composition
Two views of the same 169-record corpus: the year-by-year filing curve, and the IPC subclasses that carry the claim density.
Filing trend, 2017-2026
Filings rose from 5 in 2017 to a peak of 18 in 2025. Growth from 2021 (13) to 2024 (12) — the most recent year that can be treated as complete — reads as -8%; 2025 and 2026 counts will keep revising upward as later-filed applications publish.
IPC subclass composition
H02J (power supply & grid systems) appears in 75.1% of records and G06Q (business/commerce data processing) in 30.2%, confirming that most claims are still framed as power-systems control with a substantial scheduling/optimization-data layer on top. G05B control systems (16.0%) and the AI/data-processing classes G06F and G06N (9.5% each) mark where algorithmic claims are concentrating; G05D at 2.4% is the thinnest-claimed class in scope.
Shares are the percentage of the 169 records in scope. A patent can carry several IPC classes, so the shares add up to more than 100%.
Source: Patsnap Eureka. Filing trend and technology composition. Derived from a Patsnap search on Microgrids — Microgrid Energy-Management Optimization Patent Landscape covering 2015–2026, data cut-off 2026-07-31. Counts reflect published records only and shift as new filings publish.
Go deeper on Microgrids — Microgrid Energy-Management Optimization Patent Landscape with Eureka
This page is one run against one query. Ask Eureka your own question about microgrids — microgrid energy-management optimization patent landscape and every answer comes back with the patent numbers behind it.
Try EurekaKey patents
Most-cited records and a representative recent filing
Representative recent filing
US20260142461A1 — Microgrid energy management system (Robert Bosch GmbH, filed 2026-05-21)
ROBERT BOSCH GMBH
An energy management system for microgrid systems. The controller receives forecasted weather condition data, predicts a power generation and/or demand profile of the microgrid in response, determines a performance and/or degradation model of one or more system components from that profile, derives an energy management optimization strategy from the performance/degradation model, and controls the microgrid accordingly.Abstract condensed from the published filing for length; full claim language governs scope.
Most-cited records in this corpus
| # | Publication no. | Patent title | Citations |
|---|---|---|---|
| 1 | US20100179704A1 | Optimization of microgrid energy use and distribution | 908 |
| 2 | US20110231028A1 | Optimization of microgrid energy use and distribution | 656 |
| 3 | US8364609B2 | Optimization of microgrid energy use and distribution | 231 |
| 4 | US20110035073A1 | Optimization of microgrid energy use and distribution | 209 |
| 5 | US8019697B2 | Optimization of microgrid energy use and distribution | 152 |
| 6 | US20130024014A1 | Optimal energy management of a rural microgrid system using multi-objective optimization | 116 |
| 7 | US8706650B2 | Optimization of microgrid energy use and distribution | 114 |
| 8 | US20140148963A1 | Optimization of microgrid energy use and distribution | 113 |
| 9 | WO2019192040A1 | 风光柴储智能交流微电网系统 | 110 |
| 10 | CN105743126A | 一种实现负荷管理的微电网能量管理系统 | 103 |
Citation counts favour older records simply by virtue of having had more time to accumulate citations inside this searched corpus; read them as a signal of influence on the field's early framing, not of current technical importance.
Patent titles are shown in the language they were filed in, not translated, so that each record stays verifiable against the original filing — a translated title will not match in Eureka or in any national register. Each row carries its publication number; clicking a row searches Eureka by that number.
Source: Patsnap Eureka. Citation counts and representative records. Derived from a Patsnap search on Microgrids — Microgrid Energy-Management Optimization Patent Landscape covering 2015–2026, data cut-off 2026-07-31. Counts reflect published records only and shift as new filings publish.Run this in Eureka MCP
Run it yourself
Put your own technology through the same analysis
Where to run it
For builders
MCP server & REST API
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 →Insights
What the numbers mean for a filing decision
Read alongside the ranking and IPC tables, not as a substitute for them.
Concentration
27.8% of 169
top 5 assignees' share of all records
A leading tier, not a monopoly
The single leader holds 14 records and the fifth-ranked assignee only 6 — the drop-off from first to fifth is steep, but the top 5 still account for just 27.8% of all 169 records in scope. The top 10 combined reach 40.2%, meaning well over half the corpus sits with a long tail of single- or few-filing entrants.
Filing share, not technical dominance.
Technology mix
75.1% H02J
share of records classified in power-supply/grid systems
Still an electrical-engineering field on paper
H02J's 75.1% share dwarfs every other class, and G06Q at 30.2% is the only other class above 20%. The AI-flagged classes G06F and G06N each sit at just 9.5%, suggesting most claims still ground optimization logic in power-systems terms rather than filing it as a standalone AI method.
Classes overlap; shares do not sum to 100%.
Timing
18 in 2025
peak filing year in the corpus
Recent years understate real activity
2025 is the peak year on record at 18 filings, but publication lags filing by roughly 18 months, so 2025 and 2026 totals will both rise as more applications publish. The only span safe to describe as a trend is 2021 to 2024, where the count moved from 13 to 12 — an -8% change, essentially flat rather than declining.
Do not read 2025-2026 as a slowdown.
Collaboration
10 co-assignee pairs
joint-filing relationships identified
Joint filing is real but limited
Ten co-assignee pairs appear in the corpus, with the strongest links running through a small cluster of Chinese state-grid-affiliated entities filing together on the same records. Outside that cluster, co-filing is sparse, which matches a field where a long tail of entrants files independently.
Cluster is concentrated around state-grid-affiliated filers.
Eureka AI Agent
Looking for what nobody has claimed yet?
Eureka can read the same corpus for gaps instead of for coverage: under-claimed branches adjacent to microgrids — microgrid energy-management optimization patent landscape, with the prior art for and against each one.
Source: Patsnap Eureka. Co-assignee relationships and derived observations. Derived from a Patsnap search on Microgrids — Microgrid Energy-Management Optimization Patent Landscape covering 2015–2026, data cut-off 2026-07-31. Counts reflect published records only and shift as new filings publish.Run this in Eureka MCP
Players
Who is filing, and where activity is thinning
The ranking behind this page covers 100 companies, counted in records — not a top-50 or top-100 cut, but the full set the data endpoint returns.
Leader
14 records
leader's filing count
A clear but narrow lead
The top-ranked assignee holds 14 records against a fifth-place count of 6 and a tenth-place count of 3 — a real gap at the very top that flattens quickly once you move past the first few names.
Gap narrows fast after rank one.
Long tail
40.2% top 10
share held by the ten leading assignees
Most of the field files thinly
With the top 10 at 40.2% of 169 records, roughly three-fifths of the corpus is spread across assignees filing only a handful of records each — a structure that rewards a freedom-to-operate search over any assumption of a settled dominant-player landscape.
Check FTO rather than assume a settled market.
Momentum
0 in latest year
recent-year filing count for several named leaders
Past leaders, quiet present
Several of the assignees with the largest historical counts — including some of the top-ranked filers — show zero filings in the latest year tracked. That does not mean they have exited; it is consistent with publication lag, but it also means recent momentum in this field is not concentrated with the historical leaders.
Watch for publication-lag catch-up in 2025-2026 data.
Recent-year filing momentum by assignee
| Assignee | Recent year | YoY |
|---|---|---|
| INTEGRAL ANALYTICS | 0 | — |
| General Electric Company | 0 | — |
| RENEW POWER SYSTEMS INC | 0 | — |
| Siemens AG | 0 | — |
| OPEN ACCESS TECH INT | 0 | — |
| Nanjing University of Posts and Telecommunications | 0 | — |
| State Grid Corporation of China | 0 | — |
| SHARMA RATNESH | 0 | — |
Source: Patsnap Eureka. Assignee-level momentum. Derived from a Patsnap search on Microgrids — Microgrid Energy-Management Optimization Patent Landscape covering 2015–2026, data cut-off 2026-07-31. Counts reflect published records only and shift as new filings publish.Run this in Eureka MCP
What's next
Where to take this analysis
The ranking, IPC breakdown and most-cited table on this page are a starting point for scoping, not a substitute for a full freedom-to-operate or novelty check.
Map claims against the white space
Cross-check the under-claimed sub-areas above against your own architecture before drafting, especially where control logic touches degradation modelling or islanding transitions.
Explore this in Eureka →Track the leaders with zero recent filings
Several historically large filers show no activity in the latest tracked year; confirm whether that is publication lag or a genuine pivot before assuming the field is open.
Run a live monitor in Eureka →Read the most-cited records as prior art, not roadmap
The most-cited records date from early in the corpus and shape freedom-to-operate risk more than they describe where the technology is headed.
Pull full-text claims in Eureka →Source: Patsnap Eureka. Forward-looking reading of the same dataset. Derived from a Patsnap search on Microgrids — Microgrid Energy-Management Optimization Patent Landscape covering 2015–2026, data cut-off 2026-07-31. Counts reflect published records only and shift as new filings publish.Run this in Eureka MCP
FAQ
Common questions on microgrid energy-management patents
This dataset covers 169 published records classified against microgrid energy-management optimization, distributed energy scheduling and dispatch control terms, filed between 2015 and the 2026-07-31 cut-off. The true current total is higher than the recent-year counts suggest, because publication typically lags filing by around 18 months, so 2025 and 2026 figures will keep rising as more applications publish. Use the 169-record figure and its filing-year breakdown as a scoped snapshot rather than an exhaustive global count.
The ranking behind this page covers 100 companies, counted in records, with the top-ranked assignee holding 14 records and the top 5 combined accounting for 27.8% of all 169 records in scope. That leaves a substantial long tail: the top 10 together reach only 40.2%, so most of the field is held by assignees with a handful of filings each rather than a small dominant group. Several of the largest historical filers show zero filings in the most recent tracked year, which may reflect publication lag rather than an actual pullback.
The dominant IPC subclass is H02J, power supply and grid systems, appearing in 75.1% of the 169 records in scope. G06Q, covering business and commerce data processing, is the next largest at 30.2%, reflecting the scheduling and optimization-data side of the technology. G05B control systems, G06F and G06N data-processing/AI classes, G05F variable control, H04L transmission and G05D non-electric control round out the composition, each at a smaller but non-trivial share; because records can carry multiple classes, these shares add up to more than 100%.
Filings rose from 5 in 2017 to a peak of 18 in 2025, but the only span that can be read reliably as a trend is 2021 to 2024, where the count moved from 13 to 12 — a -8% change, essentially flat. Figures for 2025 and 2026 are still incomplete because of publication lag, typically around 18 months from filing to publication, so they should not be read as a slowdown. Treat the most recent two years as provisional until later publications catch up.
The thinnest-claimed IPC class in this corpus is G05D, non-electric variable control, at just 2.4% of 169 records, alongside modest shares for AI-flagged classes G06F and G06N at 9.5% each. That points to under-claimed ground in degradation-aware dispatch modelling, weather-forecast-driven generation profiling, islanding-mode transition control, and AI-native scheduling logic claimed outside the dominant G06Q framing. Any of these branches is worth a dedicated novelty search before drafting, since low record counts here reflect thinner prior art rather than lack of technical relevance.
Answers are grounded in the same dataset. Derived from a Patsnap search on Microgrids — Microgrid Energy-Management Optimization Patent Landscape covering 2015–2026, data cut-off 2026-07-31. Counts reflect published records only and shift as new filings publish.Run this in Eureka MCP
Research Microgrids — Microgrid Energy-Management Optimization Patent Landscape in depth with Eureka
Go past this page: query the whole microgrids — microgrid energy-management optimization patent landscape corpus yourself, in your own scope.
Every answer comes back with patent numbers you can open.
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.