WO2024226848A3 - Ai-based energy edge platform, systems, and methods - Google Patents
Ai-based energy edge platform, systems, and methods Download PDFInfo
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- WO2024226848A3 WO2024226848A3 PCT/US2024/026336 US2024026336W WO2024226848A3 WO 2024226848 A3 WO2024226848 A3 WO 2024226848A3 US 2024026336 W US2024026336 W US 2024026336W WO 2024226848 A3 WO2024226848 A3 WO 2024226848A3
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- G06Q10/00—Administration; Management
- G06Q10/04—Forecasting or optimisation specially adapted for administrative or management purposes, e.g. linear programming or "cutting stock problem"
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- G06Q10/06—Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
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- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
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Abstract
An Al-based energy edge platform is provided herein with a wide range of features, components and capabilities for management and improvement of legacy infrastructure, coordination, and orchestration with distributed systems to support important use cases for a range of enterprises. An Al-based energy edge platform may include a graph neural network including a set of nodes respectively representing at least one distributed energy resource (DER) and a set of edges respectively interconnecting the set of nodes, wherein each edge represents at least one energy-related feature among at least two nodes of the set of nodes. The platform may incorporate emerging technologies to enable ecosystem and individual energy edge node efficiencies, agility, engagement, and profitability. Embodiments may forecast, plan for, and manage the demand and utilization of energy in greater distributed environments. Embodiments may employ intelligent provisioning, data aggregation, and analytics to leverage energy market connection, communication, and transaction enablement platforms.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| AU2024220197A AU2024220197A1 (en) | 2023-04-25 | 2024-04-25 | Ai-based energy edge platform, systems, and methods |
Applications Claiming Priority (18)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| US202363461810P | 2023-04-25 | 2023-04-25 | |
| US63/461,810 | 2023-04-25 | ||
| US202363472225P | 2023-06-09 | 2023-06-09 | |
| US63/472,225 | 2023-06-09 | ||
| IN202311057688 | 2023-08-28 | ||
| IN202311057688 | 2023-08-28 | ||
| US202363535747P | 2023-08-31 | 2023-08-31 | |
| US63/535,747 | 2023-08-31 | ||
| US202363537478P | 2023-09-08 | 2023-09-08 | |
| US63/537,478 | 2023-09-08 | ||
| PCT/IB2023/058962 WO2024052888A2 (en) | 2022-09-10 | 2023-09-10 | Ai-based energy edge platform, systems, and methods |
| IBPCT/IB2023/058962 | 2023-09-10 | ||
| US202363610870P | 2023-12-15 | 2023-12-15 | |
| US63/610,870 | 2023-12-15 | ||
| US202463621540P | 2024-01-16 | 2024-01-16 | |
| US63/621,540 | 2024-01-16 | ||
| US202463625613P | 2024-01-26 | 2024-01-26 | |
| US63/625,613 | 2024-01-26 |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| WO2024226848A2 WO2024226848A2 (en) | 2024-10-31 |
| WO2024226848A3 true WO2024226848A3 (en) | 2025-01-23 |
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Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| PCT/US2024/026336 Pending WO2024226848A2 (en) | 2023-04-25 | 2024-04-25 | Ai-based energy edge platform, systems, and methods |
Country Status (2)
| Country | Link |
|---|---|
| AU (1) | AU2024220197A1 (en) |
| WO (1) | WO2024226848A2 (en) |
Families Citing this family (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20250350642A1 (en) * | 2024-05-13 | 2025-11-13 | Florida Power & Light Company | Substantiating a compliance standard with secondary evidence |
| CN119996230B (en) * | 2025-01-15 | 2025-11-18 | 广州商之杰信息科技有限公司 | Intelligent disaster recovery management service system |
| CN119629697B (en) * | 2025-02-11 | 2025-05-06 | 北京邮电大学 | Unmanned cluster distributed intelligent routing method and device and electronic equipment |
| CN119830764B (en) * | 2025-03-03 | 2025-09-26 | 南京航空航天大学 | Power matching evaluation and optimization method for aeronautical SOFC-GT hybrid power system |
| CN119829956B (en) * | 2025-03-17 | 2025-09-19 | 华东交通大学 | A lithium battery life prediction method and system based on graph neural network |
| CN119865433B (en) * | 2025-03-25 | 2025-07-01 | 重庆朗奕迪实业有限公司 | Dynamic optimization method, device and medium for central Mesh network |
| CN120494470B (en) * | 2025-07-17 | 2025-09-16 | 江苏零浩网络科技有限公司 | Dynamic process processing method and system based on multi-module collaboration in smart logistics scenarios |
| CN120597051B (en) * | 2025-08-06 | 2025-10-31 | 国网山西省电力公司营销服务中心 | A Semi-Supervised Learning-Based User Electricity Consumption Data Analysis and Modeling Method and System |
Citations (8)
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| US20130268253A1 (en) * | 2012-04-06 | 2013-10-10 | Ut-Battelle, Llc | Graph modeling systems and methods |
| US20190109891A1 (en) * | 2018-12-03 | 2019-04-11 | Intel Corporation | Virtual electrical networks |
| US20210081717A1 (en) * | 2018-05-18 | 2021-03-18 | Benevolentai Technology Limited | Graph neutral networks with attention |
| US20210281076A1 (en) * | 2017-07-28 | 2021-09-09 | The Florida State University Research Foundation, Inc. | Optimal control technology for distributed energy resources |
| KR20220095313A (en) * | 2020-12-29 | 2022-07-07 | 주식회사 그리드위즈 | Digital Twin Based Distributed Energy Resource and Power Line Management Plan System and Method thereof |
| US20220268827A1 (en) * | 2021-02-24 | 2022-08-25 | Mitsubishi Electric Research Laboratories, Inc. | Distribution Fault Location Using Graph Neural Network with both Node and Link Attributes |
| CN115563297A (en) * | 2022-09-19 | 2023-01-03 | 华中农业大学 | A food safety knowledge map construction and completion method based on graph neural network |
| US20230021961A1 (en) * | 2021-07-21 | 2023-01-26 | Accenture Global Solutions Limited | Optimizing energy consumption of production lines using intelligent digital twins |
-
2024
- 2024-04-25 AU AU2024220197A patent/AU2024220197A1/en active Pending
- 2024-04-25 WO PCT/US2024/026336 patent/WO2024226848A2/en active Pending
Patent Citations (8)
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|---|---|---|---|---|
| US20130268253A1 (en) * | 2012-04-06 | 2013-10-10 | Ut-Battelle, Llc | Graph modeling systems and methods |
| US20210281076A1 (en) * | 2017-07-28 | 2021-09-09 | The Florida State University Research Foundation, Inc. | Optimal control technology for distributed energy resources |
| US20210081717A1 (en) * | 2018-05-18 | 2021-03-18 | Benevolentai Technology Limited | Graph neutral networks with attention |
| US20190109891A1 (en) * | 2018-12-03 | 2019-04-11 | Intel Corporation | Virtual electrical networks |
| KR20220095313A (en) * | 2020-12-29 | 2022-07-07 | 주식회사 그리드위즈 | Digital Twin Based Distributed Energy Resource and Power Line Management Plan System and Method thereof |
| US20220268827A1 (en) * | 2021-02-24 | 2022-08-25 | Mitsubishi Electric Research Laboratories, Inc. | Distribution Fault Location Using Graph Neural Network with both Node and Link Attributes |
| US20230021961A1 (en) * | 2021-07-21 | 2023-01-26 | Accenture Global Solutions Limited | Optimizing energy consumption of production lines using intelligent digital twins |
| CN115563297A (en) * | 2022-09-19 | 2023-01-03 | 华中农业大学 | A food safety knowledge map construction and completion method based on graph neural network |
Non-Patent Citations (2)
| Title |
|---|
| WENG YANG: "Deep Reinforcement Learning for Power Grid Control", PSERC FINAL PROJECT REPORT S-93G, 3 January 2021 (2021-01-03), pages 1 - 39, XP093268482, Retrieved from the Internet <URL:https://documents.pserc.wisc.edu/documents/publications/reports/2021_reports/S_93G_Final_Report.pdf> * |
| YANMEI JIANG, MINGSHENG LIU, YANGYANG LI, YAPING LIU, JINGYUN ZHANG, YIFENG LIU, CHUNYANG LIU: "Enhanced neighborhood node graph neural networks for load forecasting in smart grid", INTERNATIONAL JOURNAL OF MACHINE LEARNING AND CYBERNETICS, vol. 15, no. 1, 1 January 2024 (2024-01-01), Berlin/Heidelberg, pages 129 - 148, XP093268484, ISSN: 1868-8071, DOI: 10.1007/s13042-023-01796-8 * |
Also Published As
| Publication number | Publication date |
|---|---|
| AU2024220197A1 (en) | 2024-11-07 |
| WO2024226848A2 (en) | 2024-10-31 |
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