Power generation forecasting based on hybrid deep learning models for a multi-energy power generation system
Authors:
- Ying SongYSYing Song
- Jianqiu ZhouJZJianqiu Zhou
- Yu PengYPYu Peng
- Jin YanJYJin Yan
- 6 June 2025
- journal article
- Published by Elsevier in Engineering Applications of Artificial Intelligence
- Vol. 157
Abstract
No abstract availableFunding Information
- Natural Science Research of Jiangsu Higher Education Institutions of China (22KJB470012)
- Jiangsu Province Natural Science Foundation (BK20230700)
- Major Basic Research Project of the Natural Science Foundation of the Jiangsu Higher Education Institutions
- National Natural Science Foundation of China (12305186)
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