Work

Accelerating optimal scheduling prediction in power system: A multi-faceted GAN-assisted prediction framework

Year: 2024

Type: article

Source: Renewable Energy

DOI: 10.1016/j.renene.2024.120830

Authors: Ali Peivand, Ehsan Azad Farsani, Hamid Reza Abdolmohammadi

Institutions: Isfahan University of Technology, Golpayegan University of Engineering

Language: English

Topic: Electric Power System Optimization

Subfield: Electrical and Electronic Engineering

Field: Engineering

Domain: Physical Sciences

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

Open Access status: closed

OpenAlex ID: W4399796996

FWCI: 1.753

Cites: 54

Cited by: 17

Related to: 10