Arima Approach For Forecasting Temperature In A Residential Premises Part 2

This paper presents the choice of a prediction model using ARIMA time series forecasting approaches. These approaches have been used as a tool to predict temperature changes in residential premises. Based on calculations using the software product IBM SPSS, the temperatures at six points in the residential premises are predicted. The software product MATLAB was used to construct the equations of the functions approximating the temperature in a formed cross section of six symmetrically located points in an interval of one hour, every ten minutes.