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...
Main Authors: | Shan Wu, Hongquan Han, Benwei Hou, Kegong Diao |
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Format: | Article |
Language: | English |
Published: |
MDPI AG
2020-06-01
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Series: | Water |
Subjects: | |
Online Access: | https://www.mdpi.com/2073-4441/12/6/1683 |
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