Distributed Optimal Power Scheduling for Microgrid System via Deep Reinforcement Learning with Privacy Preserving-Reference-Cited by-同舟云学术

Distributed Optimal Power Scheduling for Microgrid System via Deep Reinforcement Learning with Privacy Preserving

Published:2022-06-27 Issue: Volume: Page:
ISSN:
Container-title:2022 IEEE 17th International Conference on Control & Automation (ICCA)
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Author:

He Tong¹,Wu Xiang¹,Dong Hui¹,Guo Fanghong¹,Yu Wei²

Affiliation:

1. Zhejiang University of Technology,Department of Automation,Hangzhou,China,310032

2. Green Rooftop Inc,Hangzhou,China,310032

Funder

Natural Science Foundation of Zhejiang Province

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9831427/9831807/09831947.pdf?arnumber=9831947

Reference21 articles.

1. An experimental study on performance evaluation of asymmetric encryption algorithms;farah;Recent Advances in Information Science Proceeding of the 3rd European Conf of Computer Science (EECS-12),2012

2. Privacy-Preserving Energy Scheduling in Microgrid Systems

3. A Random-Weighted Privacy-Preserving Distributed Algorithm for Energy Management in Microgrid with Energy Storage Devices

4. Real-Time Energy Management of a Microgrid Using Deep Reinforcement Learning

5. Energy scheduling and decision learning of combined cooling, heating and power microgrid based on deep deterministic policy gradient;ji;2020 IEEE 4th Conference on Energy Internet and Energy System Integration (EI2),2020

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