An enhanced gene expression programming for daily water consumption forecasting with new chromosome structure-Reference-Cited by-同舟云学术

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An enhanced gene expression programming for daily water consumption forecasting with new chromosome structure

Published:2024-09 Issue: Volume:66 Page:105873
ISSN:2214-7144
Container-title:Journal of Water Process Engineering
language:en
Short-container-title:Journal of Water Process Engineering

Author:

Sun Qingshuai,Zhang Yingjie,Lu Biliang,Liu Hualiang,Xu Mengdi,Liu Zhaolin

Funder

Hunan Provincial Science and Technology Department

Science and Technology Innovative Research Team in Higher Educational Institutions of Hunan Province

Natural Science Foundation of Hunan Province

Publisher

Elsevier BV

Reference44 articles.

1. A Machine Learning Framework for Enhancing Short-Term Water Demand Forecasting Using Attention-BiLSTM Networks Integrated with XGBoost Residual Correction;Shan;Water,2023

2. Predicting water demand: a review of the methods employed and future possibilities;de Souza Groppo;Water Supply,2019

3. Review of the Mechanism and Methodology of Water Demand Forecasting in the Socio-Economic System;Fang;Water,2024

4. A Critical Review of Short-Term Water Demand Forecasting Tools—What Method Should I Use?;Niknam;Sustainability,2022

5. Short-Term Water Demand Forecasting Using Nonlinear Autoregressive Artificial Neural Networks;Bata;J. Water Resour. Plan. Manag.,2020

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