Predikce vývoje energetického sektoru

This bachelor's thesis deals with the prediction of electricity consumption of Prague consumers using exogenous variables and different prediction methods. For the purpose of this bachelor's thesis are chosen methods ARIMAX and linear regression to build the prediction model. The aim of the thesis is to predict the daily consumption of customers for two weeks ahead and to compare the results of the used methods. The theoretical part of the thesis describes the methods used in the practical part. In the practical part, customers are divided into smaller groups, then predictions are made for each group and their results are compared. The contribution of this thesis is beneficial for energy companies, which could find it helpful, for example, in setting tariffs, planning production or to understand the behaviour of their customers better.