The Impact of Artificial Neural Network (ANN) on the Solar Energy Cells: A Review

Ahmed Adnan Hadi
International Journal of Computational and Electronic Aspects in Engineering
Volume 5: Issue 1, March 2024, pp 30-41

Author's Information
Ahmed Adnan Hadi 1 
Corresponding Author
1Information Technology Research and Development Center, University of KUFA, Iraq
ah2036@gmail.com
Review Paper -- Peer Review Papered
First online on – 30 March 2024

Open Access article under Creative Commons License

Cite this article –Ahmed Adnan Hadi “The Impact of Artificial Neural Network (ANN) on the Solar Energy Cells: A Review”, International Journal of Computational and Electronic Aspects in Engineering, RAME Publishers, vol. 5, Issue 1, pp. 30-41, 2024.
https://doi.org/10.26706/ijceae.5.1.20240505

Abstract:-
The proportion of energy produced by variable renewable energy sources (VRE) is growing in importance in the power industry. The high integration costs of various energy sources provide a significant barrier to widespread adoption. Due to the increasing complexity and data generating potential of the future smart grid, artificial intelligence (AI) solutions and data-intensive technologies are currently deployed in many stages of the electrical value chain and have the potential to significantly increase the system's value. When it comes to the energy industry, however, the willingness of decision makers to invest in AI and data demanding technology is sometimes hampered by various ambiguities or lack of knowledge about its effect. Previous work has indicated several applications for AI solutions in the power industry; the aim of this paper is to add to the comprehension of the significance of AI strategies in solar energy cells
Index Terms:-
Artificial Intelligence (AI), Solar Energy, Artificial Neural Network (ANN). Solar Photovoltaic Cells.
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