Chinese Water Demand Forecast Based on iTransformer Model
This paper presents a novel deep learning-based model for forecasting water demand Specifically, a transformer network architecture-based iTransformer model is introduced to forecast total water demand at both country and province levels over the medium term. Comparative evaluations with Transformer...
| 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/10640098/ |