We have developed a machine learning (ML)-based DSSE framework that accounts for the unique attributes of modern distribution systems

The aim is to design a robotic system to address solar panel efficiency loss due to dirt and grime buildup on the surface of solar panels.

We have put together a diverse team to perform day-ahead net load forecasting from historical data using deep sequential learning

Physics-based data-analytics that reduce effort to parametrize transmission lines & diagnose unexpected grid behavior such as oscillations