AI in Sustainable Energy: Applications and Innovations

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AI improves energy generation efficiency while addressing challenges associated with grid stability and renewable sources.
Specific AI and machine learning techniques enhance renewable energy applications, particularly in solar and wind prediction.
The study employs topic modeling methods including LDA and BERT to categorize research themes in energy applications.
Future research recommendations aim to guide policymakers in integrating AI with social equity and environmental considerations.

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This review demonstrates AI's potential to enhance energy generation and grid stability, suggesting new pathways for sustainable development.

Er. Sandesh Lamichhane (2025) studied this question.

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This review demonstrates AI's potential to enhance energy generation and grid stability, suggesting new pathways for sustainable development.