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Journal of Arts, Society, and Education Studies

Volume 4, 2022 - Issue 3

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AI in Energy: Transforming Sustainability and Grid Management

by John Rodriguez 1,*
1
Palacký University Olomouc
*
Author to whom correspondence should be addressed.
JASES  2022 4(3):111; https://doi.org/10.xxxx/xxxxxx
Received: 16 July 2022 / Accepted: 20 August 2022 / Published Online: 21 September 2022
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Abstract

This paper explores the transformative impact of artificial intelligence (AI) in the energy sector, focusing on how AI technologies are revolutionizing sustainability and grid management. Through an analysis of case studies and industry reports, the study investigates how AI-driven solutions such as predictive maintenance, energy optimization, and renewable energy integration are reshaping various aspects of energy production, 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 interoperability, cybersecurity, and policy frameworks. Additionally, the paper examines the role of AI in enabling more sustainable and resilient energy systems, by optimizing resource allocation, predicting energy demand, and managing grid operations in real-time. Furthermore, it discusses the importance of collaboration between energy providers, technology developers, and policymakers, investment in AI infrastructure, and public awareness in harnessing the full potential of AI in the energy transition. The findings underscore the transformative power of AI in creating more efficient, reliable, and sustainable energy ecosystems to address the challenges of climate change and meet the growing energy demands of society.

Keywords: Artificial Intelligence; Energy; Sustainability; Grid Management; Predictive Maintenance; Energy Optimization; Renewable Energy Integration;
Copyright: © 2022 by Rodriguez. 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
Rodriguez, J. AI in Energy: Transforming Sustainability and Grid Management. Journal of Arts, Society, and Education Studies, 2022, 4, 111. doi:10.xxxx/xxxxxx
AMA Style
Rodriguez J. AI in Energy: Transforming Sustainability and Grid Management. Journal of Arts, Society, and Education Studies; 2022, 4(3):111. doi:10.xxxx/xxxxxx
Chicago/Turabian Style
Rodriguez, John 2022. "AI in Energy: Transforming Sustainability and Grid Management" Journal of Arts, Society, and Education Studies 4, no.3:111. doi:10.xxxx/xxxxxx

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References

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