Background

The production of a solar system (photovoltaic system, PVA) depends on many factors. However, under ideal conditions, every solar system has a characteristic output curve that depends on the characteristics of the system, such as orientation and shading.

Data

For this challenge, anonymised data from real PV systems is provided. This data can be crossed with weather data on solar radiation and cloud cover to analyse the production patterns of the systems.

Aim

The aim of this challenge is to develop an (AI-) supported model that determines the characteristic signature of a solar plant. This signature ‘S’ depends on factors such as orientation, shading and other characteristics of the system.

Applications

The developed model can then be used with the following applications: - Comparison of effective and expected production for performance review - Forecast of plant production for timetables in the control energy sector, portfolio optimisation, etc. - The model can be used in simulations of any kind at Solarify.

Contact

Solarify: Raimund Neubauer, Roger Langenegger