Publisher
Springer Science and Business Media LLC
Subject
Water Science and Technology,Civil and Structural Engineering
Cited by
43 articles.
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1. Battle of Water Demand Forecasting: An Optimized Deep Learning Model;The 3rd International Joint Conference on Water Distribution Systems Analysis & Computing and Control for the Water Industry (WDSA/CCWI 2024);2024-09-04
2. Optimizing Short-Term Water Demand Forecasting: A Comparative Approach to the Battle of Water Demand Forecasting;The 3rd International Joint Conference on Water Distribution Systems Analysis & Computing and Control for the Water Industry (WDSA/CCWI 2024);2024-09-04
3. Optimizing Time Series Models for Water Demand Forecasting;The 3rd International Joint Conference on Water Distribution Systems Analysis & Computing and Control for the Water Industry (WDSA/CCWI 2024);2024-08-29
4. Combining wavelet-enhanced feature selection and deep learning techniques for multi-step forecasting of urban water demand;Environmental Research: Infrastructure and Sustainability;2024-07-19
5. Prediction of water consumption in Beijing based on the multi-variable grey model with adjacent accumulation;Water Supply;2024-04-26