Short-Term Water Demand Forecasting Using Machine Learning Approaches in a Case Study of a Water Distribution Network Located in Italy †
Abstract
:1. Introduction
2. Materials and Methods
2.1. Dataset Preprocessing
2.2. Water Demand Forecast Framework
3. Results and Discussion
Author Contributions
Funding
Institutional Review Board Statement
Informed Consent Statement
Data Availability Statement
Acknowledgments
Conflicts of Interest
References
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Que, Q.; Gao, J.; Wu, W.; Cao, H.; Li, K.; Zhang, H.; He, Y.; Shen, R. Short-Term Water Demand Forecasting Using Machine Learning Approaches in a Case Study of a Water Distribution Network Located in Italy. Eng. Proc. 2024, 69, 177. https://doi.org/10.3390/engproc2024069177
Que Q, Gao J, Wu W, Cao H, Li K, Zhang H, He Y, Shen R. Short-Term Water Demand Forecasting Using Machine Learning Approaches in a Case Study of a Water Distribution Network Located in Italy. Engineering Proceedings. 2024; 69(1):177. https://doi.org/10.3390/engproc2024069177
Chicago/Turabian StyleQue, Qidong, Jinliang Gao, Wenyan Wu, Huizhe Cao, Kunyi Li, Hanshu Zhang, Yi He, and Rui Shen. 2024. "Short-Term Water Demand Forecasting Using Machine Learning Approaches in a Case Study of a Water Distribution Network Located in Italy" Engineering Proceedings 69, no. 1: 177. https://doi.org/10.3390/engproc2024069177