Impact of external factors on electricity consumption prediction in office building with photovoltaic supply

Planning for electricity consumption due to power outages occurring unexpectedly is becoming an important aspect of building maintenance management. Time series analysis makes it possible to predict electricity consumption in future years based on historical data. The purpose of the study is to verify the influence of external factors on the prediction of the amount of electricity consumption. The study used time series analysis methods: naive model with seasonality, linear regression and Facebook Prophet. The results show that the proposed models are able to predict energy demand satisfactorily.