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

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

This study develops a synergistic optimization method of multiple gates integrating hydrodynamic simulation and data-driven methods, with the goal of improving the accuracy of water distribution and regulation efficiency. This approach addresses the challenges of large prediction deviation of hydrau...

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Bibliographic Details
Main Authors: Yiying Du, Chaoyue Zhang, Rong Wei, Li Cao, Tiantian Zhao, Wene Wang, Xiaotao Hu
Format: Article
Language:English
Published: MDPI AG 2025-06-01
Series:Agriculture
Subjects:
group of gates
feedforward control
machine learning
one-dimensional hydrodynamic model
optimal regulation
Online Access:https://www.mdpi.com/2077-0472/15/13/1344
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