Harsh S. Dhiman
Papers
1
Total Citations
21
H-Index
1
About
Harsh S. Dhiman is a leading researcher in renewable energy systems, specializing in solar photovoltaic (PV) reliability, soiling mitigation, and advanced signal processing techniques. His major contributions center on enhancing the operational resilience of solar farms in arid and semi-arid regions, where unpredictable dust storms cause uneven soiling—a critical challenge that degrades power output. In his highly cited 2024 work, Dhiman pioneered a hybrid support vector regression (SVR) model integrated with wavelet transform (WT) and empirical mode decomposition (EMD) to forecast soiling patterns, enabling proactive maintenance and improved PV array reliability. This innovative approach has garnered 21 citations in under a year, underscoring its immediate impact on the field. Dhiman’s research bridges machine learning and energy engineering, offering practical solutions for real-world solar farm management. His work is widely recognized for its methodological rigor and direct applicability, making him a sought-after voice in sustainable energy research. By addressing the intersection of data-driven forecasting and renewable energy reliability, Dhiman continues to shape how solar infrastructure adapts to environmental uncertainties.
Research Focus
Key Achievements
Top Papers
- 1