"The goal is to improve reliability... while expanding access to clean energy solutions and make sure that residents, in a variety of communities, can possibly benefit from a cleaner, resilient energy system."

"Research by Stony Brook University with Ecosuite and Ecogy Energy developed machine learning models to identify long-term PV underperformance using inverter and weather data."

"By eliminating the pitfalls of physical sensors and manual workflows, asset managers gain reliable, actionable insights—backed by scientific evidence and proven in real-world operations."