Trends, Effects, and Future Outlook for the Integration of Artificial Intelligence Technologies in the Energy Sector: The Role of Open Innovation

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Page Numbers: 143-158
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Published: Apr 12, 2025
Digital Object Identifier: 10.58578/mjaei.v2i2.5391
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Elijah Omoniyi Fatokun1
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Elijah Omoniyi Fatokun
Ajayi Crowther University, Nigeria

Abstract

This paper explores the integration of Artificial Intelligence (AI) in the energy sector, focusing on its impact on operational efficiency, cost reduction, and environmental sustainability. It examines how open innovation fosters collaboration among energy companies, startups, and research institutions to accelerate AI adoption. Despite challenges such as data privacy, regulatory barriers, and infrastructure needs, AI technologies are poised to enhance energy optimization and support global goals like net-zero emissions and increased renewable energy penetration. The paper also looks ahead to the future of AI in energy, highlighting the potential of quantum computing, reinforcement learning, and advanced neural networks in driving further innovation.

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How to Cite
Fatokun, E. O. (2025). Trends, Effects, and Future Outlook for the Integration of Artificial Intelligence Technologies in the Energy Sector: The Role of Open Innovation. Mikailalsys Journal of Advanced Engineering International, 2(2), 143-158. https://doi.org/10.58578/mjaei.v2i2.5391

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Authors retain copyright and grant the journal right of first publication with the work simultaneously licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License that allows others to share the work with an acknowledgement of the work's authorship and initial publication in this journal.

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