Work

Data-driven wind power prediction model based on improved generative adversarial network

Year: 2025

Type: article

Source: International Journal of Emerging Electric Power Systems

DOI: 10.1515/ijeeps-2025-0005

Authors: Zhang Peng, Fan Huibo, Chen Ge, Chi Lin, Gong Zhimin, Ma Zhiyuan, Cao Mengnan

Institutions: Shanghai Power Equipment Research Institute, State Power Investment Corporation (China)

Language: English

Topic: Energy Load and Power Forecasting

Subfield: Electrical and Electronic Engineering

Field: Engineering

Domain: Physical Sciences

SDGs: Affordable and clean energy, Climate action

Open Access status: closed

OpenAlex ID: W4409621043

FWCI:

Cites: 27

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Related to: 10