Shan, S.; Ni, H.; Chen, G.; Lin, X.; Li, J.
A Machine Learning Framework for Enhancing Short-Term Water Demand Forecasting Using Attention-BiLSTM Networks Integrated with XGBoost Residual Correction. Water 2023, 15, 3605.
https://doi.org/10.3390/w15203605
AMA Style
Shan S, Ni H, Chen G, Lin X, Li J.
A Machine Learning Framework for Enhancing Short-Term Water Demand Forecasting Using Attention-BiLSTM Networks Integrated with XGBoost Residual Correction. Water. 2023; 15(20):3605.
https://doi.org/10.3390/w15203605
Chicago/Turabian Style
Shan, Shihao, Hongzhen Ni, Genfa Chen, Xichen Lin, and Jinyue Li.
2023. "A Machine Learning Framework for Enhancing Short-Term Water Demand Forecasting Using Attention-BiLSTM Networks Integrated with XGBoost Residual Correction" Water 15, no. 20: 3605.
https://doi.org/10.3390/w15203605
APA Style
Shan, S., Ni, H., Chen, G., Lin, X., & Li, J.
(2023). A Machine Learning Framework for Enhancing Short-Term Water Demand Forecasting Using Attention-BiLSTM Networks Integrated with XGBoost Residual Correction. Water, 15(20), 3605.
https://doi.org/10.3390/w15203605