PREVISÃO DE CONSUMO DE ENERGIA UTILIZANDO REDE NEURAL COM RETARDO DE TEMPO (TDNN).

As artificial neural networks (ANN), they are computational models inspired by the way the nervous system of living beings work, these models can be used for processing and classification of data and applications, such as series and function prediction. Thus, this work used a time-delayed neural network (TDNN) to predict the demand for active energy on the P4 bus in the city of Presidente Prudente. [ABSTRACT FROM AUTHOR]