Predpovedanie časových radov

Abstract

This thesis focuses on time series forecasting using deep neural networks. The aim is to describe selected methods, implement them, and compare their effectiveness on real-world data. The evaluation is based on deviation metrics and visual comparison of results. The outcome is the identification of the most suitable approach for time series forecasting in this domain.