Cascaded neural network surrogate modeling for real-time decision-making in long-distance water supply distribution
Effective water distribution in long-distance supply systems requires precise control over pump station operations and flow-regulating elements, such as pump speeds and valve openings, typically achieved through hydraulic models. However, traditional hydraulic models are time-intensive to develop an...
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| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Taylor & Francis Group
2025-12-01
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| Series: | Engineering Applications of Computational Fluid Mechanics |
| Subjects: | |
| Online Access: | https://www.tandfonline.com/doi/10.1080/19942060.2025.2453080 |
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