EtaTune

Key Contributions:

- Improvements to prediction accuracy by factoring historical weather data and irradiance data

- Complete refactoring of API server

- New fire safety score calculation

- Implemented unit testing

EtaTune leverages Artificial Intelligence and Machine Learning to analyze and predict the health of photovoltaic (PV) systems. By ingesting historical inverter data, the application identifies degradation patterns with high accuracy, pinpointing the root causes.

With actionable insights, EtaTune recommends targeted remediation strategies such as regeneration or panel replacement. The platform also forecasts future power generation scenarios—both with and without remediation—enabling users to visualize potential outcomes. Additionally, it calculates the financial impact of these actions, empowering users to make data-driven decisions for optimal system performance and long-term savings.