Work

Reinforcement Learning for Enhanced Control of Energy Storage and Vehicle-to-Grid Systems

Year: 2025

Type: conference-paper

Source: International Conference on Artificial Intelligence, Computer, Data Sciences and Applications (ACDSA)

DOI: 10.1109/acdsa65407.2025.11166603

Authors: Mohammad Asghari, Hamid Afshari, Mohamad Y. Jaber, Cory Searcy

Institutions: Dalhousie University, Toronto Metropolitan University

Language: English

Topic: Microgrid Control and Optimization

Subfield: Control and Systems Engineering

Field: Engineering

Domain: Physical Sciences

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

Open Access status: closed

OpenAlex ID: W4414458838

FWCI: 4.638

Cites: 13

Cited by: 2

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