Double-Environmental Q-Learning for Energy Management System in Smart Grid-Reference-Cited by-同舟云学术

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Double-Environmental Q-Learning for Energy Management System in Smart Grid

Published:2022-12-17 Issue: Volume: Page:
ISSN:
Container-title:2022 IEEE International Conference on Big Data (Big Data)
language:
Short-container-title:

Author:

Syu Jia-Hao¹,Chun-Wei Lin Jerry²,Yu Philip S.³

Affiliation:

1. National Taiwan University,Department of Computer Science and Information Engineering,Taipei,Taiwan

2. Western Norway University of Applied Sciences,Department of Computer Science, Electrical Engineering and Mathematical Sciences,Bergen,Norway

3. University of Illinois at Chicago,Department of Computer Science,Chicago,USA

Funder

Research and Development

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10020192/10020156/10020209.pdf?arnumber=10020209

Reference23 articles.

1. Deep reinforcement learning: An overview;li,2017

2. Operating reserve investigation for the integration of wave, solar and wind energies

3. Differential Games of Multiple Agents and Geometric Structures

4. Reinforcement learning with deep energy-based policies;haarnoja;International Conference on Machine Learning,2017

5. Portfolio Management System with Reinforcement Learning

Cited by 4 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. AI-Based Electricity Grid Management for Sustainability, Reliability, and Security;IEEE Consumer Electronics Magazine;2024-01

2. Fuzzy Electricity Management System with Anomaly Detection and Fuzzy Q-Learning;2023 IEEE International Conference on Fuzzy Systems (FUZZ);2023-08-13

3. Q-learning based energy management system on operating reserve and supply distribution;Sustainable Energy Technologies and Assessments;2023-06

4. A Comprehensive Survey on Artificial Intelligence Empowered Edge Computing on Consumer Electronics;IEEE Transactions on Consumer Electronics;2023

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