Dai et al., 2025 - Google Patents
AI-driven resilience analysis of distribution networks under extreme eventsDai et al., 2025
- Document ID
- 9965347313136825708
- Author
- Dai H
- Liu G
- Xin L
- Shang L
- Deng H
- Ma N
- Publication year
- Publication venue
- Electrical Engineering
External Links
Snippet
Recent disasters demonstrate how modern power distribution systems are susceptible to such extremes; therefore, intelligent adaptive resilience is required. The conventional concepts can basically embrace the application of standard and rule-of-thumb decision …
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06Q—DATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q10/00—Administration; Management
- G06Q10/06—Resources, workflows, human or project management, e.g. organising, planning, scheduling or allocating time, human or machine resources; Enterprise planning; Organisational models
- G06Q10/063—Operations research or analysis
- G06Q10/0639—Performance analysis
- G06Q10/06393—Score-carding, benchmarking or key performance indicator [KPI] analysis
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06Q—DATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q10/00—Administration; Management
- G06Q10/06—Resources, workflows, human or project management, e.g. organising, planning, scheduling or allocating time, human or machine resources; Enterprise planning; Organisational models
- G06Q10/063—Operations research or analysis
- G06Q10/0635—Risk analysis
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06Q—DATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q10/00—Administration; Management
- G06Q10/04—Forecasting or optimisation, e.g. linear programming, "travelling salesman problem" or "cutting stock problem"
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06N—COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
- G06N99/00—Subject matter not provided for in other groups of this subclass
- G06N99/005—Learning machines, i.e. computer in which a programme is changed according to experience gained by the machine itself during a complete run
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06Q—DATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q40/00—Finance; Insurance; Tax strategies; Processing of corporate or income taxes
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06N—COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
- G06N5/00—Computer systems utilising knowledge based models
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| Dubey et al. | Paving the way for advanced distribution management systems applications: Making the most of models and data | |
| JP7573819B2 (en) | Method and computer system for generating decision logic for a controller - Patents.com | |
| US20140156031A1 (en) | Adaptive Stochastic Controller for Dynamic Treatment of Cyber-Physical Systems | |
| Amini et al. | Electrical energy systems resilience: A comprehensive review on definitions, challenges, enhancements and future proceedings | |
| Alobaidi et al. | Distribution service restoration with renewable energy sources: a review | |
| Goyal et al. | Asset health management using predictive and prescriptive analytics for the electric power grid | |
| CN114077809A (en) | Method and monitoring system for monitoring the performance of a controller's decision logic | |
| US20240088676A1 (en) | Systems and methods for blackout rotation enabled control of power distribution systems | |
| Dehghanian | Power system topology control for enhanced resilience of smart electricity grids | |
| Loni et al. | Power system resilience: the role of electric vehicles and social disparities in mitigating the us power outages | |
| Kumar et al. | A reliable hybrid autoregressive integrated moving average and deep reinforcement machine learning strategy for resiliency enhancement in microgrid | |
| Braun et al. | Predictions and decision making for resilient intelligent sustainable energy systems | |
| Luo | Quantitative Risk Measurement in Power System Risk Management Methods and Applications | |
| Jia et al. | Design of an integrated network order system for main distribution network considering power dispatch efficiency | |
| Haque et al. | Smart grid concept and technologies for smart cities | |
| Dubey | Preparing the power grid for extreme weather events: Resilience modeling and optimization | |
| Dutta Pramanik et al. | Harnessing IoT: Transforming Smart Grid Advancements | |
| Kumar et al. | Power system resilience quantification and enhancement strategy for real-time operation | |
| Hayat et al. | Expert and Intelligent Systems for Assessment and Mitigation of Cascading Failures in Smart Grids: Research Challenges and Survey | |
| Stewart et al. | Integrated multi-scale data analytics and machine learning for the distribution grid and building-to-grid interface | |
| Dai et al. | AI-driven resilience analysis of distribution networks under extreme events | |
| Oti Boateng et al. | Adaptive Resilience Metrics for DER-Rich Electric Distribution Systems | |
| Gilanifar et al. | Synergistic integration of control equipment and renewable resources for improved self-healing in smart distribution networks | |
| Attiwal et al. | A Comprehensive Review of Modern Methods for Load Prediction in the Smart Grid | |
| Sauer et al. | Integrated security analysis |