Short-Term Water Demand Forecasting Using Machine Learning Approaches in a Case Study of a Water Distribution Network Located in Italy

Short-Term Water Demand Forecasting Using Machine Learning Approaches in a Case Study of a Water Distribution Network Located in Italy

Machine learning’s application in short-term water demand forecasting remains a pivotal area of research in water distribution system studies. This investigation reveals a distinctive distribution pattern for the daily demand following dataset preprocessing with Random Forest and the quartile method...

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Bibliographic Details
Main Authors:	Qidong Que, Jinliang Gao, Wenyan Wu, Huizhe Cao, Kunyi Li, Hanshu Zhang, Yi He, Rui Shen
Format:	Article
Language:	English
Published:	MDPI AG 2024-09-01
Series:	Engineering Proceedings
Subjects:	short-term water demand forecasting time series feature engineering convolutional neural network long short-term memory network attention mechanism
Online Access:	https://www.mdpi.com/2673-4591/69/1/177
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