| contributor author | Ma, Wentao | |
| contributor author | Dai, Jiahui | |
| contributor author | Chen, Xi | |
| contributor author | Dong, Yuzhuo | |
| date accessioned | 2026-08-20T11:18:35Z | |
| date available | 2026-08-20T11:18:35Z | |
| date copyright | 2026/04/27 | |
| date issued | 2026 | |
| identifier other | JLEED9.EYENG-6260.pdf | |
| identifier uri | http://yetl.yabesh.ir/yetl1/handle/yetl/4312008 | |
| description abstract | AbstractAccurate ultrashort-term multistep wind power forecasting (WPF) remains a critical
challenge in renewable energy systems due to the inherent stochasticity, non-Gaussian
fluctuations, and volatility of wind energy. To address this challenge, this ... | |
| publisher | American Society of Civil Engineers | |
| title | Zeros-MTL-CLDBN: A Robust Multitask Deep-Learning Framework via Deep-Belief Network with Correntropy Loss for Ultrashort-Term Multistep Wind Power Forecasting | |
| type | Journal Article | |
| journal volume | 152 | |
| journal issue | 4 | |
| journal title | Journal of Energy Engineering | |
| identifier doi | 10.1061/JLEED9.EYENG-6260 | |
| journal fristpage | 04026028-1 | |
| journal lastpage | 04026028-15 | |
| page | 15 | |
| tree | Journal of Energy Engineering:;2026:;Volume ( 152 ):;issue: 004 | |
| contenttype | Fulltext | |
