Generative adversarial networks and transfer learning for renewable energy forecasting: a multi-source knowledge fusion approach.

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Bibliographic Details
Title: Generative adversarial networks and transfer learning for renewable energy forecasting: a multi-source knowledge fusion approach.
Authors: Almaghrabi, Sarah1, ssalmaghrabi@uj.edu.sa, Saiedur Rahaman, Mohammad2, m.saiedurrahaman@cqu.edu.au, Rana, Mashud3, mashud.rana@acu.edu.au, Hamilton, Margaret4, margaret.hamilton@rmit.edu.au
Source: Neural Computing & Applications; Nov2025, Vol. 37 Issue 32, p26823-26843, 21p
Database: Applied Science & Technology Source
Description
ISSN:09410643
DOI:10.1007/s00521-025-11645-0