Management of Congestion in Distribution Networks Utilizing Demand Side Management and Reinforcement Learning-Reference-Cited by-同舟云学术

Management of Congestion in Distribution Networks Utilizing Demand Side Management and Reinforcement Learning

Published:2023-09 Issue:3 Volume:17 Page:4452-4463
ISSN:1932-8184
Container-title:IEEE Systems Journal
language:
Short-container-title:IEEE Systems Journal

Author:

Khan Omniyah Gul M¹^ORCID,Youssef Amr²^ORCID,Salama Magdy¹^ORCID,El-Saadany Ehab Fahmy³^ORCID

Affiliation:

1. Department of Electrical and Computer Engineering, University of Waterloo, Waterloo, ON, Canada

2. Concordia Institute for Information Systems Engineering, Concordia University, Montreal, QC, Canada

3. Advanced Power and Energy Center, Department of Electrical Engineering and Computer Sciences, Khalifa University, Abu Dhabi, UAE

Funder

Advanced Power and Energy Center

Khalifa University of Science, Technology and Research

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Control and Systems Engineering,Computer Networks and Communications,Computer Science Applications,Information Systems

Link

http://xplorestaging.ieee.org/ielx7/4267003/10235272/10153958.pdf?arnumber=10153958

Reference29 articles.

1. Integrated Demand Side Management Game in Smart Energy Hubs

2. A Machine Learning Approach for Understanding Power Distribution System Congestion

3. Dynamic Tariff for Day-Ahead Congestion Management in Agent-Based LV Distribution Networks

4. Secure and scalable aggregation in the smart grid resilient against malicious entities

5. Efficient privacy-preserving computation based on additive secret sharing;Xiong,2021

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1. Differentiated Congestion Management in Distribution Network Considering Price- and Incentive-Based Hybrid Demand Response;2024 IEEE International Conference on Industrial Technology (ICIT);2024-03-25

2. An Electric Vehicle Solar PV Case Studies Based Demand Response Modernization;2023 Intelligent Computing and Control for Engineering and Business Systems (ICCEBS);2023-12-14