Recent Advances of Artificial Intelligence Techniques for Wind Energy Operation and Control Problems

P. A. Gowri Sankar, C. Muniraj, V. Kamatchi Kannan, K. Karthikumar, M. Rajkumar, P. Srinithi

2025

Abstract

Wind power has become a choice, for energy in recent times because it helps reduce the environmental effects of using fossil fuels for electricity generation. The unpredictable nature of wind resources poses challenges, for managing and controlling wind energy systems. This section delves into how artificial intelligence methods can be used to tackle these issues in operating and controlling wind energy systems. In this paper starts by giving a summary of the status of wind energy systems and the main difficulties encountered in their operation and management. Thereafter it discusses the intelligence methods used to address these obstacles such, as machine learning, optimization algorithms and hybrid strategies. (lankrita, and Sudhir Kumar Srivastava, 2020). The analysis looks into how these AI methods are utilized in domains like wind power prediction, unit commitment and economic dispatch optimal management of wind turbines and integration of wind energy, into the grid. The paper also talks about how these AI methods perform and the results they achieve while pointing out what they are good, at and where they fall short. Additionally, the review points out patterns and areas for research in using AI for managing and controlling wind energy operations. This paper is designed to be a resource for scientists, professionals and decision makers involved in wind energy work by summarizing the advancements in AI based solutions and giving a glimpse into what we can expect next, in this field.

Paper Citation

in Harvard Style

Sankar P., Muniraj C., Kannan V., Karthikumar K., Rajkumar M. and Srinithi P. (2025). Recent Advances of Artificial Intelligence Techniques for Wind Energy Operation and Control Problems. In Proceedings of the 1st International Conference on Research and Development in Information, Communication, and Computing Technologies - ICRDICCT`25; ISBN 978-989-758-777-1, SciTePress, pages 519-527. DOI: 10.5220/0013915900004919

in Bibtex Style

@conference{icrdicct`2525,
author={P. Sankar and C. Muniraj and V. Kannan and K. Karthikumar and M. Rajkumar and P. Srinithi},
title={Recent Advances of Artificial Intelligence Techniques for Wind Energy Operation and Control Problems},
booktitle={Proceedings of the 1st International Conference on Research and Development in Information, Communication, and Computing Technologies - ICRDICCT`25},
year={2025},
pages={519-527},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0013915900004919},
isbn={978-989-758-777-1},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 1st International Conference on Research and Development in Information, Communication, and Computing Technologies - ICRDICCT`25
TI - Recent Advances of Artificial Intelligence Techniques for Wind Energy Operation and Control Problems
SN - 978-989-758-777-1
AU - Sankar P.
AU - Muniraj C.
AU - Kannan V.
AU - Karthikumar K.
AU - Rajkumar M.
AU - Srinithi P.
PY - 2025
SP - 519
EP - 527
DO - 10.5220/0013915900004919
PB - SciTePress