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Unlocking Sustainable Energy: The Transformative Role of AI in Renewable Energy Technologies and Applications
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Author(s): Arun Agrawal (Institute of Technology and Management, Gwalior, India), Vijay Prakash Sharma (Institute of Technology and Management, Gwalior, India), Gaurav Dubey (Institute of Technology and Management, Gwalior, India), Jagveer Singh (Institute of Technology and Management, Gwalior, India), Madhukar Dubey (Institute of Technology and Management, Gwalior, India)and Nitin Dixit (Institute of Technology and Management, Gwalior, India)
Copyright: 2025
Pages: 26
Source title:
Integrating Artificial Intelligence Into the Energy Sector
Source Author(s)/Editor(s): Abdelkader Mohamed Sghaier Derbali (Taibah University, Saudi Arabia)
DOI: 10.4018/979-8-3693-7112-1.ch006
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Abstract
Artificial Intelligence (AI) is a powerful catalyst for a sustainable energy future, revolutionizing the renewable energy landscape and its applications. This chapter explores AI's transformative role in the energy sector. By processing large datasets, forecasting patterns, and making real-time decisions, AI opens new possibilities in energy generation, storage, distribution, and consumption. It enhances the performance of renewable sources like solar panels and wind turbines, reducing costs and increasing output. AI-driven predictive maintenance ensures infrastructure longevity, while smart grid management improves distribution efficiency. Additionally, AI impacts sustainable urban planning, energy-efficient building designs, and electric vehicle infrastructure development. This chapter highlights AI's crucial role in advancing a greener, more efficient energy future, while also examining emerging trends and challenges.
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