A Method for Water Resource Dispatching in Cascade Hydropower Stations, Characterized by AI Computation

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Authors: Kecheng Geng, Wei Chen
Cited by: 0
References: 4

Abstract

A method for water resource scheduling in cascade hydropower stations, which characterized by comprising with: a) Obtaining water resource data of each hydropower station in the cascade hydropower stations at the current moment; b) Determining whether each hydropower station is in a safe operating state based on its water resource data; c) When all hydropower stations are confirmed to be in safe operating states, determining whether to perform water resource scheduling based on their water resource data, preset electricity price schemes, and target historical data [ 1 ]; d) If water resource scheduling is required, determining a scheduling scheme based on the water resource data and a pre-trained water resource scheduling model.

Fields of Study & Subjects

Water resources management and optimization Electric Power System Optimization Hydrological Forecasting Using AI

Publication details

Journal / source
Lecture notes in civil engineering
Pages
529–550
Publication date
1 January 2026
Language
EN