Many-Objective Distribution Network Reconfiguration Using Deep Reinforcement Learning-Assisted Optimization Algorithm

Yuanzheng Li, Yong Zhao, Lei Wu, Zhigang Zeng

Research output: Chapter in Book/Report/Conference proceedingChapterpeer-review

Abstract

In recent years, energy and environmental crises have been significant obstacles to the sustainable development of our society. In order to lessen these crises, renewable energy (RE) has been paid more attention to and utilized widely worldwide.

Original languageEnglish
Title of host publicationEngineering Applications of Computational Methods
Pages209-229
Number of pages21
DOIs
StatePublished - 2023

Publication series

NameEngineering Applications of Computational Methods
Volume14
ISSN (Print)2662-3366
ISSN (Electronic)2662-3374

Fingerprint

Dive into the research topics of 'Many-Objective Distribution Network Reconfiguration Using Deep Reinforcement Learning-Assisted Optimization Algorithm'. Together they form a unique fingerprint.

Cite this