Practical Research on the Combination of Hydro Power Station Dispatching and Artificial Intelligence Algorithms

Xiong Feng

2025

Abstract

In order to meet the challenges of hydro power station dispatching practice research, in view of the shortcomings of the existing breadth search algorithms, this study introduces an innovative hydro power station dispatching practice research method based on artificial intelligence algorithms. This new scheme uses the principle of gradient superposition theory to accurately identify and locate key influencing factors, and accordingly carries out intelligent indicator classification work to reduce possible interference. At the same time, using the unique mechanism of artificial intelligence algorithms, this scheme cleverly constructs the design strategy of industrial hydro power stations. The empirical results show that the proposed scheme shows a significant improvement compared with the traditional breadth search algorithm in terms of the accuracy of hydro power station dispatching practice research and the processing efficiency of key factors, showing its obvious strong advantages. In residential hydro power applications, hydro power station dispatching practice research plays a crucial role, which can accurately predict and optimize the growth trend and output results of hydro power station dispatching practice research. However, in the face of complex simulation tasks, traditional breadth search algorithms show some inherent shortcomings, especially when dealing with multi-level challenges, their performance is often unsatisfactory. To overcome this problem, this study introduces a new idea of hydro power station dispatching practice optimized by artificial intelligence algorithm, and accurately controls the influencing parameters through gradient superposition theory, and uses it as a road map for index allocation, and then uses artificial intelligence algorithm to innovate and construct a system scheme. The test results clearly point out that in the context of the evaluation criteria, the new scheme has been significantly optimized in terms of accuracy and processing speed for a variety of challenges, showing stronger performance superiority. Therefore, in the practical research of hydro power station scheduling, the simulation scheme based on artificial intelligence algorithm successfully overcomes the shortcomings of the traditional breadth search algorithm, and significantly improves the accuracy and operation efficiency of the simulation.

Paper Citation

in Harvard Style

Feng X. (2025). Practical Research on the Combination of Hydro Power Station Dispatching and Artificial Intelligence Algorithms. In Proceedings of the 3rd International Conference on Futuristic Technology - Volume 1: INCOFT; ISBN 978-989-758-763-4, SciTePress, pages 555-562. DOI: 10.5220/0013551000004664

in Bibtex Style

@conference{incoft25,
author={Xiong Feng},
title={Practical Research on the Combination of Hydro Power Station Dispatching and Artificial Intelligence Algorithms},
booktitle={Proceedings of the 3rd International Conference on Futuristic Technology - Volume 1: INCOFT},
year={2025},
pages={555-562},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0013551000004664},
isbn={978-989-758-763-4},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 3rd International Conference on Futuristic Technology - Volume 1: INCOFT
TI - Practical Research on the Combination of Hydro Power Station Dispatching and Artificial Intelligence Algorithms
SN - 978-989-758-763-4
AU - Feng X.
PY - 2025
SP - 555
EP - 562
DO - 10.5220/0013551000004664
PB - SciTePress