Advanced Machine Learning Approach of Power Flow Optimization in Community Microgrid
Author:
Affiliation:
1. Lancaster University,Engineering Department,Lancaster,UK,LA1 4YW
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9911058/9911059/09911103.pdf?arnumber=9911103
Reference13 articles.
1. Dynamic Programming Models for Maximizing Customer Lifetime Value: An Overview;aboelhamd;Advances in Intelligent Systems and Computing,2019
2. Real-Time Optimal Power Flow: A Lagrangian Based Deep Reinforcement Learning Approach
3. Deep Reinforcement Learning Based Approach for Optimal Power Flow of Distribution Networks Embedded with Renewable Energy and Storage Devices
4. Gym-ANM: Reinforcement learning environments for active network management tasks in electricity distribution systems
5. Multi-Timescale Coordinated Voltage/Var Control of High Renewable-Penetrated Distribution Systems
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