Deep Learning Model-Based Demand Forecasting for Secondary Water Supply in Residential Communities: A Case Study of Shanghai City, China
To promote intelligent water services and accelerate the water industry’s modernization process, accurately predicting regional residents’ water demand and reducing energy consumption for secondary water supply is a major challenge for scientific scheduling and efficient manage...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
IEEE
2024-01-01
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| Series: | IEEE Access |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/10159385/ |