Work

A Novel Deep Reinforcement Learning Approach for Microgrids Scheduling Considering Demand Response and Vehicle-to-Grid Systems

Year: 2025

Type: conference-paper

Source: International Symposium on Advances in Electrical, Electronics and Computer Engineering (ISAEECE)

DOI: 10.1109/isaeece66033.2025.11160040

Authors: Weina Zhang, Zhikai Xi, Zhongqin Bi, Yingyi Hong

Institutions: Shanghai University of Electric Power, Chung Yuan Christian University

Language: English

Topic: Microgrid Control and Optimization

Subfield: Control and Systems Engineering

Field: Engineering

Domain: Physical Sciences

SDGs: Industry, innovation and infrastructure, Affordable and clean energy, Climate action

Open Access status: closed

OpenAlex ID: W4414405314

FWCI: 2.289

Cites: 9

Cited by: 1

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