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Journal of Arts, Society, and Education Studies

Volume 4, 2022 - Issue 2

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Journal Article

AI in Energy: Optimizing Resource Management for a Sustainable Future

by Barbara Miller 1,*
1
University of Malta
*
Author to whom correspondence should be addressed.
JASES  2022 4(2):94; https://doi.org/10.xxxx/xxxxxx
Received: 2 April 2022 / Accepted: 2 May 2022 / Published Online: 1 June 2022
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Abstract

This paper examines the application of artificial intelligence (AI) in the energy sector, focusing on how AI technologies are being used to optimize resource management and promote sustainability. Through an analysis of case studies and industry reports, the study explores how AI-driven solutions such as predictive maintenance, energy forecasting, and demand response systems are transforming various aspects of the energy value chain, including generation, transmission, distribution, and consumption. It discusses the potential benefits of AI in improving energy efficiency, reducing carbon emissions, and enhancing grid reliability, while also addressing challenges related to data integration, cybersecurity, and regulatory compliance. Additionally, the paper examines the role of AI in facilitating the transition to renewable energy sources, by enabling better integration of intermittent renewables and enabling smarter grid management. Furthermore, it discusses the importance of stakeholder collaboration, investment in AI infrastructure, and policy support in driving the adoption of AI in the energy sector. The findings highlight the significant role of AI in accelerating the transition to a more sustainable and resilient energy system.

Keywords: Artificial Intelligence; Energy; Resource Management; Sustainability; Predictive Maintenance; Energy Forecasting; Demand Response; Renewable Energy;
Copyright: © 2022 by Miller. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY) (Creative Commons Attribution 4.0 International License). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

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ACS Style
Miller, B. AI in Energy: Optimizing Resource Management for a Sustainable Future. Journal of Arts, Society, and Education Studies, 2022, 4, 94. doi:10.xxxx/xxxxxx
AMA Style
Miller B. AI in Energy: Optimizing Resource Management for a Sustainable Future. Journal of Arts, Society, and Education Studies; 2022, 4(2):94. doi:10.xxxx/xxxxxx
Chicago/Turabian Style
Miller, Barbara 2022. "AI in Energy: Optimizing Resource Management for a Sustainable Future" Journal of Arts, Society, and Education Studies 4, no.2:94. doi:10.xxxx/xxxxxx

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References

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