Meta-Reinforcement Learning-Based Transferable Scheduling Strategy for Energy Management-Reference-Cited by-同舟云学术

Meta-Reinforcement Learning-Based Transferable Scheduling Strategy for Energy Management

Published:2023-04 Issue:4 Volume:70 Page:1685-1695
ISSN:1549-8328
Container-title:IEEE Transactions on Circuits and Systems I: Regular Papers
language:
Short-container-title:IEEE Trans. Circuits Syst. I

Author:

Xiong Luolin¹,Tang Yang¹^ORCID,Liu Chensheng¹^ORCID,Mao Shuai²^ORCID,Meng Ke³^ORCID,Dong Zhaoyang⁴^ORCID,Qian Feng¹^ORCID

Affiliation:

1. Key Laboratory of Smart Manufacturing in Energy Chemical Process, Ministry of Education, and the Engineering Research Center of Process System Engineering, Ministry of Education, East China University of Science and Technology, Shanghai, China

2. Department of Electrical Engineering, Nantong University, Nantong, China

3. School of Electrical Engineering and Telecommunications, University of New South Wales, Sydney NSW, Australia

4. School of Electrical and Electronics Engineering, Nanyang Technological University, Jurong West, Singapore

Funder

National Natural Science Foundation of China

Program of Shanghai Academic Research Leader

Fundamental Research Funds for the Central Universities

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Hardware and Architecture

Link

http://xplorestaging.ieee.org/ielx7/8919/10089883/10081065.pdf?arnumber=10081065

Reference54 articles.

1. Modeling and Control of Islanded DC Microgrid Clusters With Hierarchical Event-Triggered Consensus Algorithm

2. A Two-Level Energy Management Strategy for Multi-Microgrid Systems With Interval Prediction and Reinforcement Learning

3. Granular Robust Mean-CVaR Feedstock Flow Planning for Waste-to-Energy Systems Under Integrated Uncertainty

4. Approximation-Free Robust Synchronization Control for Dual Linear Motors Driven Systems With Uncertainties and Disturbances

5. DisEHPPC: Enabling Heterogeneous Privacy-Preserving Consensus-Based Scheme for Economic Dispatch in Smart Grids

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