The Role of AI in Optimizing Renewable Energy Systems for Sustainable Development

As the world faces the growing challenges of climate change and energy insecurity, the transition to renewable energyhas become a global imperative. Artificial Intelligence (AI) is playing a crucial role in optimizing renewable energy systems byimproving efficiency, reducing costs, and enhancing the integration of renewable energy sources into existing power grids. AIdriven technologies, such as machine learning algorithms, predictive analytics, and optimization models, are being used toforecast energy demand, optimize energy production, manage energy storage, and improve grid stability. This paper exploresthe role of AI in optimizing renewable energy systems, focusing on its applications in wind, solar, and energy storage. It alsoexamines the challenges and opportunities that AI presents in the context of sustainable development, highlighting the potentialfor AI to contribute to a cleaner, more sustainable energy future.

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-05-03
DOI
https://doi.org/10.5281/zenodo.15333956
Primary Topic
Hybrid Renewable Energy Systems
Type
article
Field-Weighted Citation Impact
0.00
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article

The Role of AI in Optimizing Renewable Energy Systems for Sustainable Development

Zenodo (CERN European Organization for Nuclear Research)
Hybrid Renewable Energy Systems
article

The Role of AI in Optimizing Renewable Energy Systems for Sustainable Development

article en

Abstract

As the world faces the growing challenges of climate change and energy insecurity, the transition to renewable energyhas become a global imperative. Artificial Intelligence (AI) is playing a crucial role in optimizing renewable energy systems byimproving efficiency, reducing costs, and enhancing the integration of renewable energy sources into existing power grids. AIdriven technologies, such as machine learning algorithms, predictive analytics, and optimization models, are being used toforecast energy demand, optimize energy production, manage energy storage, and improve grid stability. This paper exploresthe role of AI in optimizing renewable energy systems, focusing on its applications in wind, solar, and energy storage. It alsoexamines the challenges and opportunities that AI presents in the context of sustainable development, highlighting the potentialfor AI to contribute to a cleaner, more sustainable energy future.

Zenodo (CERN European Organization for Nuclear Research)
Openalex Percentile: Top 55%
Hybrid Renewable Energy Systems
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