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Enhancing renewable energy systems with advanced artificial intelligence solutions

By
Benchikh Salma ,
Benchikh Salma

Advanced systems engineering laboratory, Ibn Tofail University, Kenitra, Morocco

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Jarou Tarik ,
Jarou Tarik

Advanced systems engineering laboratory, Ibn Tofail University, Kenitra, Morocco

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Lamrani Roa ,
Lamrani Roa

Advanced systems engineering laboratory, Ibn Tofail University, Kenitra, Morocco

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Abstract

As the global community increasingly prioritizes sustainability, the transition to renewable energy sources becomes paramount. However, the integration of renewables, such as solar and wind power, into existing energy infrastructures faces significant challenges due to their inherent variability and intermittency. Despite these obstacles, artificial intelligence (AI) offers a transformative solution. This article explores the multifaceted role of AI in addressing the complexities of renewable energy integration. From predictive analytics to optimize renewable energy generation to smart grid technologies that enhance grid stability, AI holds the key to unlocking the full potential of sustainable energy. By examining the intersection of AI and renewable energy integration, this article illuminates how innovative technologies can drive the global shift towards a more sustainable energy paradigm

How to Cite

1.
Benchikh S, Jarou T, Lamrani R. Enhancing renewable energy systems with advanced artificial intelligence solutions . SCT Proceedings in Interdisciplinary Insights and Innovations [Internet]. 2024 May 27 [cited 2024 Jun. 16];2:319. Available from: https://proceedings.saludcyt.ar/index.php/piii/article/view/319

The article is distributed under the Creative Commons Attribution 4.0 License. Unless otherwise stated, associated published material is distributed under the same licence.

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