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AI Renaissance in Renewable Energy: A Path to Sustainability
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Author(s): Abhishek Benedict Kumar (Symbiosis Law School, Symbiosis International University (Deemed), Pune, India), Karun Sanjaya (Symbiosis Law School, Symbiosis International University (Deemed), Pune, India)and Kavya Sanjaya (University of Hyderabad, Gachibowli, India)
Copyright: 2025
Pages: 18
Source title:
Leveraging AI for Innovative Sustainable Energy: Solar, Wind and Green Hydrogen
Source Author(s)/Editor(s): Hind Hammouch (University Sidi Mohamed Ben Abdellah, Morocco)and Laeeq Razzak Janjua (WSB University, Poland)
DOI: 10.4018/979-8-3373-0045-0.ch002
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Abstract
The intersection of artificial intelligence (AI) and renewable energy systems is transforming how energy is generated, distributed, and consumed. This paper explores AI's applications in three key renewable energy sectors: solar, wind, and green hydrogen. AI technologies such as machine learning, neural networks, and predictive analytics address critical challenges such as the variability and intermittency of renewable resources. Additionally, AI-enhanced renewable systems have broader implications, such as democratizing energy access, fostering economic growth, and aligning with global climate goals like the Paris Agreement and the United Nations' Sustainable Development Goals. By leveraging the synergies between AI and renewable energy, society can achieve a cleaner, more resilient, and equitable energy future, critical for combating climate change and promoting global sustainability. This paper highlights the transformative potential of AI while offering insights into overcoming barriers to its widespread adoption in renewable energy systems.
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