Modelo para la predicción de consumo energético mediante métodos de Inteligencia artificial

Abstract

Abstract: Due to the growth in the amount of energy required for the development of daily activities, and the environmental impact caused by energy consumption, it is considered necessary to develop models for the analysis of energy information, which supported with artificial intelligence can obtain models specifically for the prediction of energy consumption. With the use of artificial intelligence methods and techniques, energy consumption data such as time series and artificial neural networks can be used to obtain more reliable and accurate prediction models. This work aims to develop an energy consumption prediction model using recent artificial intelligence methods, such as Transformers networks and LSTM memory networks. A series of datasets with historical energy consumption information are available and will be analyzed by several currently used methods.