| contributor author | Xu, Shun-Qing | |
| contributor author | Tang, Yu | |
| date accessioned | 2026-08-20T11:18:06Z | |
| date available | 2026-08-20T11:18:06Z | |
| date copyright | 2025/09/13 | |
| date issued | 2025 | |
| identifier other | JLEED9.EYENG-6163.pdf | |
| identifier uri | http://yetl.yabesh.ir/yetl1/handle/yetl/4311996 | |
| description abstract | AbstractWind energy generation technology has facilitated the diversification and transformation
of energy sources, while also improving the sustainability and cleanliness of energy.
However, the complex and variable external environment introduces ... | |
| publisher | American Society of Civil Engineers | |
| title | Short-Term Wind Power Forecasting: A Novel Enhanced Gate-Based Deep-Learning Model Containing a Metaheuristic Algorithm with an Intelligent Position Navigation Optimization Strategy | |
| type | Journal Article | |
| journal volume | 151 | |
| journal issue | 6 | |
| journal title | Journal of Energy Engineering | |
| identifier doi | 10.1061/JLEED9.EYENG-6163 | |
| journal fristpage | 04025070-1 | |
| journal lastpage | 04025070-14 | |
| page | 14 | |
| tree | Journal of Energy Engineering:;2025:;Volume ( 151 ):;issue: 006 | |
| contenttype | Fulltext | |