Tapas Guha
Papers
1
Total Citations
11
H-Index
1
About
Tapas Guha is a leading researcher in the intersection of renewable energy systems and advanced computational modeling, with a primary focus on solar photovoltaic (PV) technology and thermal energy management. His most cited work introduces a groundbreaking approach to smart operating range monitoring of solar PV cells by integrating phase change materials (PCMs) with a solar deep learning model. This innovation enables real-time performance tracking and thermal regulation, significantly enhancing the efficiency and longevity of solar energy systems. Guha’s research demonstrates how microencapsulated bio-based PCMs can be utilized for passive solar energy collection in buildings, operating within thermal comfort zones while simultaneously monitoring PV cell behavior. With 11 citations for this pivotal study, his contributions are gaining traction among researchers seeking to merge material science with artificial intelligence for sustainable energy solutions. Guha’s work stands out for its practical application in building-integrated photovoltaics, offering a scalable pathway to smarter, more resilient solar infrastructure. His interdisciplinary approach positions him as a key figure in advancing next-generation energy technologies.
Research Focus
Key Achievements
Top Papers
- 1