Abhijeet Redekar
Institute of Infrastructure Technology Research and Management
Papers
1
Total Citations
21
H-Index
1
About
Abhijeet Redekar is a researcher focused on enhancing the reliability and performance of solar photovoltaic (PV) systems, particularly in challenging environmental conditions. His work addresses critical issues in renewable energy, with a key contribution being the development of a hybrid support vector regression (SVR) model for soiling forecasting. This model, which integrates wavelet transform (WT) and empirical mode decomposition (EMD) methods, predicts uneven dust deposition on solar panels—a major problem in arid and semi-arid regions that can significantly reduce power generation. His 2024 paper on this topic has already garnered 21 citations, highlighting its timely impact on improving solar farm reliability. Redekar’s research is vital for advancing clean energy infrastructure, offering practical solutions to mitigate power losses from environmental factors. His work stands out for combining machine learning with signal processing techniques to address real-world operational challenges, making him a notable contributor to the field of renewable energy systems.
Research Focus
Key Achievements
Top Papers
- 1