Work

A Cross-Modal Generative Adversarial Network for Scenarios Generation of Renewable Energy

Year: 2023

Type: article

Source: IEEE Transactions on Power Systems

DOI: 10.1109/tpwrs.2023.3277698

Authors: Mingyu Kang, Ran Zhu, Duxin Chen, Chaojie Li, Wei Gu, Xusheng Qian, Wenwu Yu

Institutions: Southeast University, UNSW Sydney, State Grid Jiangsu Electric Power (China), Purple Mountain Laboratories

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, Industry, innovation and infrastructure

Open Access status: closed

Funders: National Natural Science Foundation of China, Australian Research Council, Fundamental Research Funds for the Central Universities

Awards: G1528277265, G4840558731, G4949000581, Graph Neural Networks for Efficient Decision-making towards Future Grids, G7846504898

OpenAlex ID: W4377086326

FWCI: 6.663

Cites: 43

Cited by: 90

Related to: 10