| contributor author | Li, Zilin | |
| contributor author | Liu, Guoxuan | |
| contributor author | Liu, Haixing | |
| contributor author | Savic, Dragan | |
| contributor author | Fu, Guangtao | |
| date accessioned | 2026-08-20T21:05:49Z | |
| date available | 2026-08-20T21:05:49Z | |
| date copyright | 2025/08/05 | |
| date issued | 2025 | |
| identifier other | JWRMD5.WRENG-6950.pdf | |
| identifier uri | http://yetl.yabesh.ir/yetl1/handle/yetl/4313943 | |
| description abstract | AbstractAccurate short-term water demand forecasting is essential for the operational management
of water distribution systems. Previous research on the use of machine learning approaches
to improve predictive accuracy has tackled issues of model ... | |
| publisher | American Society of Civil Engineers | |
| title | Usage of Multisource Data through Transfer Learning to Improve Short-Term Water Demand Forecasting | |
| type | Journal Article | |
| journal volume | 151 | |
| journal issue | 10 | |
| journal title | Journal of Water Resources Planning and Management | |
| identifier doi | 10.1061/JWRMD5.WRENG-6950 | |
| journal fristpage | 04025053-1 | |
| journal lastpage | 04025053-13 | |
| page | 13 | |
| tree | Journal of Water Resources Planning and Management:;2025:;Volume ( 151 ):;issue: 010 | |
| contenttype | Fulltext | |
