Simulation of Photovoltaic Systems

SolarData is a platform allowing to simulate the amount of energy  produced by a photovoltaic energy system in a specified geographic location weather data and parameters of the photovoltaic system like number and type of solar panels, the angle of the installation, etc.

The SolarData system extracts weather data from Grib files (binary format of weather data). Based on this data and geographic coordinates the system computes how much energy a PV installation is able to produce for particular weather conditions and locations. Finally, it generates a graphical report to present this data on charts.

SolarData is used to evaluate current performance and determine the future value of PV generation projects (expressed as the predicted energy yield) and, by extension, influence how PV projects and technologies are perceived in terms of investment risk. SolarData leverages PV Performance Modeling Collaborative (PVPMC) framework in order to accurately simulate the performance of a defined photovoltaic energy system for a specific location.

Data Scientist | Machine Learning Engineer | AI Advisor

20 years of experience in data processing from BigData to AI