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Title	Assessing The Potential Of Artificial Intelligence In Advancing Clean Energy Technologies In Europe: A Systematic Review
ID_Doc	10774
Authors	Necula S.-C.
Year	2023
Published	Energies, 16, 22
DOI	http://dx.doi.org/10.3390/en16227633
Abstract	This systematic review investigates the role of artificial intelligence (AI) in advancing clean energy technologies within Europe, based on a literature survey from 2006 to 2023. The assessment reveals that AI, particularly through deep learning and neural networks, enhances the efficiency, optimization, and management of clean energy systems. Noteworthy is AI’s capacity to improve short-term energy forecasts, essential for smart cities and IoT applications. Our findings indicate that AI drives innovation in renewable energy, contributing to the development of smart grids and enabling collaborative energy-sharing models. While the research underscores AI’s substantial influence in Europe’s energy sector, it also identifies gaps, such as varied AI algorithm applications in different renewable energy sectors. The study emphasizes the need for integrating AI with emerging clean energy innovations, advocating for interdisciplinary research to navigate the socio-economic, environmental, and policy dimensions. This approach is crucial for guiding a sustainable and balanced advancement in the clean energy landscape, signifying AI’s pivotal role in Europe’s energy transition. © 2023 by the author.
Author Keywords	artificial intelligence; clean energy technologies; European context; machine learning; renewable energy; systematic review

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