SolarData - Simulation the Performance of Photovoltaic Energy Systems

This platform allows to simulate the amount of energy  produced by a photostatic energy system. It 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 location. 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.

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Marcin Wylot, PhD
Data Scientist & Machine Learning Engineer

20 years of experience in data processing from A to Z

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