An Innovative Hourly Water Demand Forecasting Preprocessing Framework with Local Outlier Correction and Adaptive Decomposition Techniques

An Innovative Hourly Water Demand Forecasting Preprocessing Framework with Local Outlier Correction and Adaptive Decomposition Techniques

Accurate forecasting of hourly water demand is essential for effective and sustainable operation, and the cost-effective management of water distribution networks. Unlike monthly or yearly water demand, hourly water demand has more fluctuations and is easily affected by short-term abnormal events. A...

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Bibliographic Details
Main Authors: Shiyuan Hu, Jinliang Gao, Dan Zhong, Liqun Deng, Chenhao Ou, Ping Xin
Format: Article
Language:English
Published: MDPI AG 2021-02-01
Series:Water
Subjects:
hourly water demand
outlier detection and correction
mode decomposition
gated recurrent unit
Online Access:https://www.mdpi.com/2073-4441/13/5/582

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