Artificial Intelligence for Artificial Intelligence for Sustainable Optimization of Wind Energy Systems

Wind energy stands as a cornerstone in the global transition towards sustainable energy systems. However, challenges such as intermittent generation, maintenance issues, and suboptimal energy conversion efficiency persist. Artificial Intelligence (AI) offers transformative capabilities in addressing these limitations. This paper explores the role of AI in optimizing wind energy systems across forecasting, predictive maintenance, energy management, and system integration. By analyzing current applications and future trends, the paper highlights how AI contributes to improving the sustainability, reliability, and efficiency of wind energy

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-06-17
DOI
https://doi.org/10.5281/zenodo.16418801
Primary Topic
Energy Load and Power Forecasting
Type
article
Field-Weighted Citation Impact
0.00
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article

Artificial Intelligence for Artificial Intelligence for Sustainable Optimization of Wind Energy Systems

Zenodo (CERN European Organization for Nuclear Research)
Energy Load and Power Forecasting
article

Artificial Intelligence for Artificial Intelligence for Sustainable Optimization of Wind Energy Systems

article en

Abstract

Wind energy stands as a cornerstone in the global transition towards sustainable energy systems. However, challenges such as intermittent generation, maintenance issues, and suboptimal energy conversion efficiency persist. Artificial Intelligence (AI) offers transformative capabilities in addressing these limitations. This paper explores the role of AI in optimizing wind energy systems across forecasting, predictive maintenance, energy management, and system integration. By analyzing current applications and future trends, the paper highlights how AI contributes to improving the sustainability, reliability, and efficiency of wind energy

Zenodo (CERN European Organization for Nuclear Research)
Yeovil College (GB)
Affordable and clean energy
Openalex Percentile: Top 54%
Energy Load and Power Forecasting
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