A Study on Short-Term Water-Demand Forecasting Using Statistical Techniques

This paper proposes a method for short-term weekly water-demand forecasting combining various statistical techniques. In the proposed method, training datasets are prepared through exploratory data analysis, several data preprocessing steps, and an input selection step; also, forecasting models are...

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Bibliografiske detaljer

Principais autores:	Jungwon Yu, Hyansu Bae, Mi-Seon Kang, Kwang-Ju Kim, In-Su Jang
Format:	Artigo
Sprog:	Inglês
Udgivet:	MDPI AG 2024-09-01
Serier:	Engineering Proceedings
Fag:	water demand short-term forecasting support vector regression iterated strategy direct strategy
Online adgang:	https://www.mdpi.com/2673-4591/69/1/154
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