We add more functionality to the solar forecast

The PV-Aid project, aimed to develop an innovative tool for analysis and diagnosis of photovoltaic power generation, brings new possibilities for predicting energy overflows and more efficient local energy management. It was presented at the UCEEB Connect event, where lead researcher Vladislav Martínek presented the benefits and current research progress to industry partners and other experts.

In the first phase of the project, we focused on placing reference sensors of illuminance and building the data infrastructure that will be the cornerstone of further development. Our goal is to improve the monitoring and prediction of the behaviour of regional energy systems. In doing so, we promote higher use of renewable energy sources and reduce deviations in the distribution network by accurately estimating the behaviour of domestic generation plants.

Currently, the project is moving from the initial implementation phase of the sensor infrastructure to the development of advanced functionalities using modern AI technologies such as artificial intelligence models for long time series analysis and cluster analysis. We are already looking forward to the testing phase, which will start before the summer, so that users can soon benefit from our innovative tool.

The project (TS01020217) is co-funded with state support from the Czech Technology Agency within the THETA 2 Programme.