Microgrid Control for Offshore Platforms Patent Landscape
Microgrid Control for Offshore Platforms Patent Landscape in 2026
The patent corpus for microgrid control on offshore platforms is extremely thin — just 3 families on record — with Nanyang Technological University holding the dominant position. Activity is heavily concentrated in WIPO filings, and the technology mix centres on power-supply and grid-systems fundamentals, leaving most application-layer and AI-assisted control sub-domains essentially unclaimed.
Nanyang Tech University leads a near-empty field
Nanyang Technological University (NTU) ranks first with 2 patent families, followed by Lyten Inc with 1 patent family — together accounting for the entirety of the 3-family corpus.
The top five filers’ share of the hundred largest filers stands at 100%, reflecting a field so nascent that only two assignees appear in the ranking. There is effectively no competitive tier below the leader.
| # | Applicant | Patent families | Share |
|---|---|---|---|
| 1 | Nanyang Technological University | 2 | |
| 2 | Lyten Inc | 1 |
NTU’s position signals that this topic is currently driven by academic research rather than industrial incumbents; Lyten Inc’s single entry — with a notably different technology emphasis combining AI models and variable-control circuits — represents the only commercial presence on record.
The most recent 18–24 months of filings are subject to publication lag and may under-represent current activity; the apparent gap between 2018 and 2024 should be read cautiously given the very small corpus size. Longer-window growth, applicant concentration, and technology-route coverage are therefore more reliable signals than the latest-year bar alone.
Sporadic filings and a power-systems-dominant technology mix
The annual filing trend shows two isolated bursts — 2017 and 2025 — separated by a seven-year gap, while the technology composition is anchored almost entirely in H02J power-supply and grid-systems classifications.
Annual filing trend
Two filings appear in 2017, none from 2018 through 2024, and one filing in 2025. Given the extremely small corpus, each individual filing heavily influences the trend; the 2025 filing may have companions not yet published due to patent-office lag.
↗ Hover for values · click a bar to ask EurekaTechnology composition
H02J (power supply and grid systems) accounts for all 3 patent records. G05F (electric/magnetic variable control) and G06N (AI-based computing) each appear once, both attributable to Lyten Inc, signalling an early but distinct signal of intelligent control techniques entering the space.
↗ Hover for values · click a bar to ask EurekaHighly cited patent families surfaced by the query
Citation-heavy patent families returned by the query. Use this section as citation context, not as a curated list of the most topic-specific patents.
Application-specific ai-enabled energy storage app…
The present disclosure provides an advanced energy management system that optimizes energy storage unit (ESU) deployment and operation using artificial intelligence. Unlike conventional systems that rely on static configurations or manual adjustments, this system dynamically analyzes data from multiple sources to configure and manage ESUs. By employing AI… (excerpt from the patent abstract)
| # | Patent | Citations |
|---|---|---|
| 1 | Electrical energy management apparatus and methods | 17 |
Ranked by total forward citations. Citation counts favour older and broadly cited patent families, and broad or adjacent patents may appear when they match the search scope. Treat this section as citation context, not as a curated list of the most topic-specific patents. Some patent titles may be shown in their original, non-English language where an accurate translation could not be guaranteed.
What the structure means for R&D investment decisions
A 3-family corpus concentrated in two assignees provides limited benchmarking data but clear signals about where foundational work has been done and where white space exists.
Pre-commercial, embryonic field
With only 3 patent families spanning roughly a decade and no lifecycle stage determinable from the evidence, this topic sits at an embryonic stage. Filing activity is isolated rather than sustained, indicating the technology has not yet attracted the wave of parallel investment that marks a growth phase. Entrants face a near-blank slate rather than an entrenched defensive portfolio.
EmbryonicDuopoly with zero second tier
Nanyang Technological University holds two-thirds of all families; Lyten Inc holds the remaining third. There is no second tier, no fast follower, and no evidence of large energy-sector incumbents or offshore operators filing in this specific intersection. This concentration signals high entry opportunity but also limited prior-art depth to guide design-arounds.
High concentrationNo co-applicant activity on record
Evidence pending: the collaboration dataset contains no co-filed patents between multiple assignees in this corpus. The absence of joint filings suggests the field has not yet attracted the university–industry consortium arrangements common in adjacent offshore energy technology areas. This may change as the topic matures.
No co-filingPCT-first with a single Singapore national phase
Both WIPO (PCT) filings originate from NTU, consistent with a Singapore-based academic institution seeking broad international coverage. A single Singapore national-phase record (SG) completes the jurisdictional picture. No US, European, Chinese, or other major offshore-industry jurisdictions are represented, leaving enforcement coverage thin outside the PCT network.
PCT-dominantGo beyond the landscape: Eureka’s TRIZ Solution agent breaks down an R&D problem and returns patented concept solutions, each with a technical approach and cited patent & literature evidence.
Co-filing pairs, ranked by the number of jointly-filed patent families.
NTU in grid fundamentals; Lyten in AI-assisted control
Only two assignees appear in the ranking, occupying distinct technology niches within the same narrow field.
Nanyang Technological University
NTU holds 2 patent families, both filed through PCT, and concentrates its technology emphasis in H02J 3 and H02J 4 — the core power-supply and grid-interconnection subclasses. Applicant momentum data is not available for this corpus, but the presence of a 2025 filing (WO2026102424A1) alongside the 2017 filing (WO2017151057A1) suggests sustained, if infrequent, research commitment over nearly a decade.
families: 2Lyten Inc
Lyten Inc accounts for 1 patent family, distinguished by a cross-disciplinary technology emphasis spanning G05F 1 (variable electric control), G06N 20 (machine-learning computing), and H02J 1 (power-supply circuits). This combination — power hardware plus AI — positions Lyten as the only commercial-sector entrant and the sole representative of intelligent, data-driven control approaches in the corpus. Momentum data is not available.
families: 1Under-served routes adjacent to the dominant H02J core
The whitespace candidate list returned no algorithmically scored entries, but the IPC composition itself reveals adjacent branches with minimal or zero coverage that carry plausible technical relevance to offshore microgrid control.
G05F · Electric/magnetic variable control for offshore loads
Only one patent record touches G05F, and it belongs to Lyten Inc rather than the field’s academic leader. Offshore platforms present highly variable and safety-critical electrical loads — drilling equipment, heave compensation, dynamic positioning — yet systematic voltage and frequency regulation IP is essentially absent. An entrant with domain knowledge in offshore load profiles could establish early prior art in this adjacent branch. The entry path is realistic for established offshore equipment suppliers or power-electronics firms.
Search this in Eureka →G06N · AI and machine-learning models for microgrid dispatch
A single patent record references G06N 20, confirming that machine-learning-based energy dispatch for offshore microgrids has been considered but not developed into a sustained filing programme by any assignee. Reinforcement learning for real-time generator scheduling and fault-tolerant control under communication constraints are active research topics in onshore microgrids, yet their offshore adaptation remains unpatented at scale. Research groups or startups active in AI-driven energy management could move into this space with limited prior-art friction.
Search this in Eureka →How the two assignees differ by technology route
Strength of each leader across the main technology routes.
| Player | H02J 3 · Power supply & grid systems | H02J 4 · Power supply & grid systems | G05F 1 · Electric/magnetic variable control | G06N 20 · Computing based on AI models | H02J 1 · Power supply & grid systems |
|---|---|---|---|---|---|
| Nanyang Technological University | Strong · 2 | Strong · 2 | Absent | Absent | Absent |
| Lyten Inc | Strong · 1 | Absent | Strong · 1 | Strong · 1 | Strong · 1 |
Frequently asked questions
The evidence shows 3 patent families in scope. This is an extremely thin corpus, indicating the intersection of microgrid control and offshore platform application is at an embryonic stage of IP development.
Nanyang Technological University (NTU) leads with 2 patent families. Lyten Inc follows with 1 patent family. These two assignees account for all families on record.
WIPO (PCT) leads with 2 patent records, reflecting NTU’s international filing strategy. Singapore (SG) has 1 patent record. No US, European, Chinese, or other major offshore-industry jurisdictions appear in the current evidence.
H02J (power supply and grid systems) covers all 3 patent records. G05F (electric/magnetic variable control) and G06N (AI-based computing models) each appear once, both associated with Lyten Inc’s cross-disciplinary filing.
No co-applicant filings are present in the evidence. All patents are single-assignee filings. The absence of consortium or university–industry joint filings is consistent with the field’s embryonic status.
Two filings appeared in 2017, then no activity was recorded from 2018 through 2024, with one filing in 2025. The long gap and the very small total corpus suggest this remains a research-stage topic without sustained commercial filing momentum. The most recent filings may be under-counted due to publication lag.
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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.
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