Two-Stage Deep Reinforcement Learning for Distribution System Voltage Regulation and Peak Demand Management
Author:
Affiliation:
1. University of Connecticut,Department of Electrical and Computer Engineering,Storrs,CT,USA,06269
2. National Renewable Energy Laboratory,Golden,CO,USA,80401
Funder
Solar Energy Technologies Office
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10252165/10252088/10252567.pdf?arnumber=10252567
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1. A Multi-Agent Reinforcement Learning-Based Data-Driven Method for Home Energy Management
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3. California Public Utilities Commission;Rule 21 interconnection,0
4. A Two-level Scheduling Algorithm for Battery Systems and Load Tap Changers Coordination in Distribution Networks
5. Multi-UAV Information Fusion and Cooperative Trajectory Optimization in Target Search
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