Arima Approach For Forecasting Temperature In A Residential Premises Part 2
Snezhinka Zaharieva, Ivan Georgiev, Valentin Mutkov, Yavor Neikov
Abstract
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.
Topics & Concepts
Autoregressive integrated moving averageMATLABSoftwareIBMComputer scienceTime seriesProduct (mathematics)Interval (graph theory)EconometricsIndustrial engineeringMathematicsEngineeringMachine learningOperating systemMaterials scienceNanotechnologyGeometryCombinatoricsBuilding Energy and Comfort OptimizationEnergy Load and Power Forecasting