EV Charging Strategy Considering Transformer Lifetime via Evolutionary Curriculum Learning-Based Multiagent Deep Reinforcement Learning-Reference-Cited by-同舟云学术

EV Charging Strategy Considering Transformer Lifetime via Evolutionary Curriculum Learning-Based Multiagent Deep Reinforcement Learning

Author:

Li Sichen¹^ORCID,Hu Weihao¹^ORCID,Cao Di¹,Zhang Zhenyuan¹^ORCID,Huang Qi¹^ORCID,Chen Zhe²^ORCID,Blaabjerg Frede²^ORCID

Affiliation:

1. School of Mechanical and Electrical Engineering, University of Electronic Science and Technology of China, Chengdu, China

2. Department of Energy Technology, Aalborg University, Aalborg, Denmark

Funder

National Key Research and Development Program of China

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Computer Science

Link

Reference40 articles.

1. Electric vehicle charging management based on deep reinforcement learning;li;J Mod Power Syst Clean Energy,2021

3. Attention is all you need;vaswani;Proc Adv Neural Inf Process Syst (NeurIPS),2017

4. Noisy networks for exploration;fortunato;Proc Int Conf Learn Represent (ICLR),2018

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