Electric Energy Consumption Prediction in Technological Education Buildings Using Linear Regression Method

Abstract

This work presents an application of the multivariable linear regression method for prediction of electrical energy consumption considering variations in room temperature. The study was carried out in the Engineering Faculty building of the National University of Misiones (UNaM), where a mathematical regression model was defined. The results obtained show that the proposed model allows to predict satisfactorily the electrical energy consumption through the correlation with of room temperature variations.