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Leveraging Artificial Intelligence for Sustainable Innovation in Renewable Energy Systems
Authors
-
Evenly Judge
Abstract
The increasing demand for clean, renewable energy has necessitated the development of innovative solutions to optimize energy systems. Artificial Intelligence (AI) presents a transformative tool capable of driving sustainable innovations across the renewable energy landscape. This research paper examines the potential of AI in enhancing the efficiency, scalability, and sustainability of renewable energy systems. By integrating AI with renewable energy technologies, such as solar, wind, and energy storage systems, the study highlights key areas where AI-driven optimization can lead to significant breakthroughs. Moreover, we explore the role of AI in predictive maintenance, grid management, energy consumption forecasting, and the integration of distributed energy resources (DERs). The paper concludes by outlining the challenges and future prospects of AI in accelerating the transition to sustainable energy systems.
Article information
Journal
International Journal of Science and Technology Innovation
Volume (Issue)
3 (1)
Pages
24-36
Published
Copyright
Copyright (c) 2024 Evenly Judge (Author)
Open access
This work is licensed under a Creative Commons Attribution 4.0 International License.
How to Cite
References
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