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Neural networks realtime forecasting of variable baseline for the power equipment at HV, LV voltage levels (NNRF)

TK05020142 [Registered results] 2023 - 2025

The content of the project is the development of a software solution capable of meeting the requirements for predicting a variable baseline according to ČEPS standards for a wide range of technologies on the consumption side and on the production side. The software solution - thanks to the innovative baseline prediction procedure - will significantly increase the possibility of involving these technologies in the provision of support services. In the solution, we will use innovative deep learning methods of neural networks with regularization (Deep Learning - DL & Deep Neural Networks - DNN). The newly created and implemented DNN models will subsequently be practically validated for baseline prediction for specific entities from among flexibility providers.