Hybrid Model for Short-Term Water Demand Forecasting Based on Error Correction Using Chaotic Time Series

Hybrid Model for Short-Term Water Demand Forecasting Based on Error Correction Using Chaotic Time Series

Short-term water demand forecasting plays an important role in smart management and real-time simulation of water distribution systems (WDSs). This paper proposes a hybrid model for the short-term forecasting in the horizon of one day with 15 min time steps, which improves the forecasting accuracy b...

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Bibliographic Details
Main Authors: Shan Wu, Hongquan Han, Benwei Hou, Kegong Diao
Format: Article
Language:English
Published: MDPI AG 2020-06-01
Series:Water
Subjects:
water demand forecasting
hybrid model
error correction
chaotic time series
least square support vector machine
Online Access:https://www.mdpi.com/2073-4441/12/6/1683

Internet

https://www.mdpi.com/2073-4441/12/6/1683

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