Govinda Upadhyay

Govinda Upadhyay, with a robust background in physics and climate change research, co-founded SmartHelio with the mission to increase the lifespan and reduce operational costs of solar assets. His work integrates physics-informed AI models and machine learning with physical principles, enabling accurate analysis with minimal data requirements. This approach not only enhances predictive capabilities but also allows for highly scalable results from day one. Govinda has developed cutting-edge technologies, including a Climate Risk Assessment tool and advanced algorithms for fault detection and solar irradiance forecasts, which have been validated on real solar PV data sets. His efforts aim to reduce the Levelized Cost of Energy by up to 15%, minimize seasonal energy production losses, and improve overall efficiency in solar asset management. Under his leadership, SmartHelio leverages research-backed analytics and empowers solar installations to digitalize and automate operations, achieving over 98% accuracy in long-term forecasting by incorporating extensive historical data and various environmental factors.