Reinforcement Learning Assisted Deep Learning for Probabilistic Charging Power Forecasting of EVCS

Yuanzheng Li; Yong Zhao; Lei Wu; Zhigang Zeng

doi:10.1007/978-981-99-0799-1_5

Reinforcement Learning Assisted Deep Learning for Probabilistic Charging Power Forecasting of EVCS

Yuanzheng Li, Yong Zhao, Lei Wu, Zhigang Zeng

Department of Electrical and Computer Engineering

Huazhong University of Science and Technology

Research output: Chapter in Book/Report/Conference proceeding › Chapter › peer-review

Abstract

As one of the most essential actions, the carbon emission reduction has been adopted to address the problem of climate change.

Original language	English
Title of host publication	Engineering Applications of Computational Methods
Pages	75-100
Number of pages	26
DOIs	https://doi.org/10.1007/978-981-99-0799-1_5
State	Published - 2023

Publication series

Name	Engineering Applications of Computational Methods
Volume	14
ISSN (Print)	2662-3366
ISSN (Electronic)	2662-3374

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

Access to Document

10.1007/978-981-99-0799-1_5

Cite this

@inbook{7644db30966c4eef91a51039adc133f1,

title = "Reinforcement Learning Assisted Deep Learning for Probabilistic Charging Power Forecasting of EVCS",

abstract = "As one of the most essential actions, the carbon emission reduction has been adopted to address the problem of climate change.",

author = "Yuanzheng Li and Yong Zhao and Lei Wu and Zhigang Zeng",

note = "Publisher Copyright: {\textcopyright} 2023, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.",

year = "2023",

doi = "10.1007/978-981-99-0799-1_5",

language = "English",

series = "Engineering Applications of Computational Methods",

pages = "75--100",

booktitle = "Engineering Applications of Computational Methods",

}

TY - CHAP

T1 - Reinforcement Learning Assisted Deep Learning for Probabilistic Charging Power Forecasting of EVCS

AU - Li, Yuanzheng

AU - Zhao, Yong

AU - Wu, Lei

AU - Zeng, Zhigang

PY - 2023

Y1 - 2023

N2 - As one of the most essential actions, the carbon emission reduction has been adopted to address the problem of climate change.

AB - As one of the most essential actions, the carbon emission reduction has been adopted to address the problem of climate change.

UR - http://www.scopus.com/inward/record.url?scp=85159053634&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=85159053634&partnerID=8YFLogxK

U2 - 10.1007/978-981-99-0799-1_5

DO - 10.1007/978-981-99-0799-1_5

M3 - Chapter

AN - SCOPUS:85159053634

T3 - Engineering Applications of Computational Methods

SP - 75

EP - 100

BT - Engineering Applications of Computational Methods

ER -