A Knowledge-Based Framework for Power Flow and Optimal Power Flow Analyses
Author:
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
General Computer Science
Link
http://xplorestaging.ieee.org/ielx7/5165411/8233346/07448982.pdf?arnumber=7448982
Cited by 23 articles. 订阅此论文施引文献 订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献
1. A hybrid deep learning approach to solve optimal power flow problem in hybrid renewable energy systems;Scientific Reports;2024-08-21
2. Optimal Power Flow in a highly renewable power system based on attention neural networks;Applied Energy;2024-04
3. Enhancing Power System Performance via TCSC Technology Allocation With Enhanced Gradient-Based Optimization Algorithm;IEEE Access;2024
4. DClEVerNet: Deep Combinatorial Learning for Efficient EV Charging Scheduling in Large-scale Networked Facilities;Proceedings of the 14th ACM International Conference on Future Energy Systems;2023-06-16
5. A Fast Surrogate-Assisted Differential Evolution by Using Rational Probing-Predictions for Large-Scale Multi-Objective Optimal Power Flow;2023
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