Analýza časových řad z měření spotřeby elektrické energie

Abstract

This bachelor's thesis focuses on the analysis of electricity consumption time series. It is aimed at the implementation of various analytical methods, such as anomaly detection, time series decomposition, pattern identification, and future consumption prediction using predictive models. Real consumption data from metering points were used for the analysis. The results of the analysis and the effectiveness of the individual methods were evaluated and assessed in terms of their contribution to a better understanding of consumer behavior and more efficient energy management.