Predictive control of battery storage with photovoltaic source based on cloud-based irradiance prediction service

Registration number: TJ01000115
Provider: TA CR - ZÉTA Program
Solver: Karolina Tomešová, MSc.
Start: 01.10. 2017
End: 30.09. 2019
Partners: AERS, sro

The goal of the project is the significant improvement of the illumination forecast service intended for photovoltaic sources using innovative approaches (learning algorithms) and the application of this service in the effective management of local energy systems. The local system using solar energy and battery storage will use innovative predictive control methods based on consumption history and user settings and linking to a cloud-based illumination prediction service. The theme of the project aims at the transition to smart energy with a high proportion of renewable resources, which are preferably used locally.