Forecasting Short-term Water Demands with an Ensemble Deep Learning Model for a Water Supply System-Reference-Cited by-同舟云学术

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Forecasting Short-term Water Demands with an Ensemble Deep Learning Model for a Water Supply System

Published:2023-04-10 Issue:8 Volume:37 Page:2991-3012
ISSN:0920-4741
Container-title:Water Resources Management
language:en
Short-container-title:Water Resour Manage

Author:

Liu Jing,Zhou Xin-Lei,Zhang Lu-Qi,Xu Yue-Ping

Funder

Major Project of the Natural Science Foundation of Zhejiang

Zhejiang Key Research and Development Plan

Publisher

Springer Science and Business Media LLC

Subject

Water Science and Technology,Civil and Structural Engineering

Link

https://link.springer.com/content/pdf/10.1007/s11269-023-03471-7.pdf

Reference39 articles.

1. Alvarado-Barrios L, Rodríguez del Nozal Á, Boza Valerino J et al (2020) Stochastic unit commitment in microgrids: Influence of the load forecasting error and the availability of energy storage. Renew Energy 146:2060–2069. https://doi.org/10.1016/j.renene.2019.08.032

2. Antunes A, Andrade-Campos A, Sardinha-Lourenço A, Oliveira MS (2018) Short-term water demand forecasting using machine learning techniques. J Hydroinformatics 20:1343–1366. https://doi.org/10.2166/hydro.2018.163

3. Bai Y, Xie J, Wang D et al (2021) A manufacturing quality prediction model based on AdaBoost-LSTM with rough knowledge. Comput Ind Eng 155:107227. https://doi.org/10.1016/j.cie.2021.107227

4. Bajany DM, Zhang L, Xu Y, Xia X (2021) Optimisation approach toward water management and energy security in Arid/Semiarid Regions. Environmental Processes 8:1455–1480. https://doi.org/10.1007/s40710-021-00537-9

5. Bata MH, Carriveau R, Ting DS-K (2020) Short-term water demand forecasting using nonlinear autoregressive artificial neural networks. J Water Resour Plan Manag 146:1–9. https://doi.org/10.1061/(asce)wr.1943-5452.0001165

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