Objective

Development of a digital PV twin for forecasting, condition assessment, and automated monitoring with connection to operating and weather data.

Scope of Work:

1. Literature research on digital twins, simulation models, and data integration in PV systems
2. PV data storage management of real-time PV data
3. Creation of a dynamic system model (MATLAB/Python) for a real PV system and integration of operating and weather data (e.g., FusionSolar, PV*SOL, APIs)
4. Development of a yield prediction model with deviation analysis, including automatic alerts in case of deviations
5. Analysis and validation of three PV system

Your Profile

• Motivation and interest in the topic
• Background in machine learning
• Experience in python programming

Contact:

Franz Pernkopf (pernkopf@tugraz.at)