Parag Biswas
Papers
1
Total Citations
5
H-Index
1
About
Parag Biswas is a forward-thinking researcher at the intersection of artificial intelligence and sustainable energy systems. His work centers on harnessing AI-driven, data-centric models to revolutionize the renewable energy domain, with a particular focus on optimizing electrical power systems through statistical learning theory. In his landmark 2024 comprehensive survey, "Present and Future of AI in Renewable Energy Domain," Biswas systematically maps how machine learning algorithms can streamline energy production, grid management, and predictive maintenance—offering a critical roadmap for integrating intelligent automation into green infrastructure. Though early in his career, his survey has already garnered 5 citations, signaling its growing influence among engineers and policymakers seeking to decarbonize energy networks. Biswas’s contributions stand out for bridging cutting-edge AI methodologies with real-world energy challenges, positioning him as a rising voice in the push toward smarter, more resilient renewable systems. His work not only synthesizes current breakthroughs but also charts actionable pathways for future research, making him a key figure to watch in the evolving landscape of AI for climate tech.
Research Focus
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Top Papers
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