| contributor author | Dou, Zhenlan | |
| contributor author | Zhang, Chunyan | |
| contributor author | Pu, Chuanqing | |
| contributor author | Jia, Kunqi | |
| contributor author | Li, Zhonghao | |
| contributor author | Zhou, Zihan | |
| date accessioned | 2026-08-20T11:19:19Z | |
| date available | 2026-08-20T11:19:19Z | |
| date copyright | 2025/12/08 | |
| date issued | 2026 | |
| identifier other | JLEED9.EYENG-6342.pdf | |
| identifier uri | http://yetl.yabesh.ir/yetl1/handle/yetl/4312024 | |
| description abstract | AbstractAccurate modeling of renewable energy and load demand uncertainties, along with achieving
optimal energy scheduling, are two critical components in the daily energy management
of integrated energy systems (IES). This paper constructs an end-to-end ... | |
| publisher | American Society of Civil Engineers | |
| title | Achieving Optimal Demand-Side Integrated Energy Management via Hierarchical End-to-End Learning with Multisource NWP Data | |
| type | Journal Article | |
| journal volume | 152 | |
| journal issue | 1 | |
| journal title | Journal of Energy Engineering | |
| identifier doi | 10.1061/JLEED9.EYENG-6342 | |
| journal fristpage | 04025106-1 | |
| journal lastpage | 04025106-14 | |
| page | 14 | |
| tree | Journal of Energy Engineering:;2026:;Volume ( 152 ):;issue: 001 | |
| contenttype | Fulltext | |