New technologies for optimal scheduling of electric vehicles in renewable energy‐oriented power systems: A review of deep learning, deep reinforcement learning and blockchain technology-Reference-Cited by-同舟云学术

New technologies for optimal scheduling of electric vehicles in renewable energy‐oriented power systems: A review of deep learning, deep reinforcement learning and blockchain technology

Published:2022-12 Issue:6 Volume:3 Page:345-359
ISSN:2634-1581
Container-title:Energy Conversion and Economics
language:en
Short-container-title:Energy Conversion and Econom

Author:

Ma Wenshuai¹^ORCID,Hu Junjie¹,Yao Li¹,Fu Zhuoming¹,Morais Hugo²,Marinelli Mattia³

Affiliation:

1. State Key Laboratory of Alternate Electrical Power System With Renewable Energy Sources (North China Electric Power University) Changping District Beijing China

2. INESC‐ID Department of electrical and computer engineering Instituto Superior Técnico‐IST Universidade de Lisboa Lisbon Portugal

3. Department of Wind and Energy Systems Technical University of Denmark Roskilde Denmark

Funder

National Natural Science Foundation of China

Beijing Nova Program

Publisher

Institution of Engineering and Technology (IET)

Subject

General Medicine

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1049/enc2.12071

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5. A Review of Total Harmonic Distortion Factors for the Measurement of Harmonic and Interharmonic Pollution in Modern Power Systems

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