Pronostico de perfiles de consumo de electricidad a través de modelos estadísticos y desarrollo de una metodología comparativa

Abstract

In this work, the electricity consumption forecast is made through the application of statistical methods such as Simple Linear Regression (SLR), Multiple Linear Regression (MLR) and Integrated Autoregressive Moving Average Model (ARIMA) of the Universidad Politécnica Salesiana in Cuenca and the Universidad Politécnica de Valencia.