Company Performance Metrics
- Shimshon Rapaport: Electrical Engineer
- Adi Brill: Software Engineer
PVPredict is a machine learning algorithms developer for advanced statistical performance monitoring and PV generation forecasting. Their target customers: energy traders with PV in their portfolio, transmission system operators, distribution system operators, PV monitoring companies, PV fleet owners, and Inverter manufacturers. These customers
are not aware of their system’s availability beyond the receipt of their monthly electrical bill. So the system owner has no idea how his system is performing from an objective point of view if at all and the entities managing the grid at both the national and local level are dealing with rogue power plants they cannot take into account in the delicate undertaking of electrical grid management. The solution, a Statistical Performance Monitoring System that requires: no hardware, no input of system configuration, and no analysis software. It only requires an inverter or generation meter output and GIS location benefactors of the system. PVPredict was founded by co-founders Mike Green and Eyal Brill.