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Multi-Objective Optimal Scheduling of Water Transmission and Distribution Channel Gate Groups Based on Machine Learning

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Pubblicato in:Agriculture vol. 15, no. 13 (2025), p. 1344-1367
Autore principale: Du Yiying
Altri autori: Zhang Chaoyue, Wei, Rong, Cao, Li, Zhao, Tiantian, Wang, Wene, Hu Xiaotao
Pubblicazione:
MDPI AG
Soggetti:
Water engineering
Irrigation
Water supply
Algorithms
Water shortages
Optimization
Water levels
Open channels
Multiple objective analysis
Irrigation water
Machine learning
Pareto optimum
Gates
Energy consumption
Prediction models
Water distribution
Efficiency
Scheduling
Water conservation
Simulation
Irrigation districts
Artificial intelligence
Global optimization
Genetic algorithms
Decision making
Objective function
Deviation
Errors
Hydraulics
Operating costs
Environmental
Accesso online:Citation/Abstract
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