
PREVISÃO DE CONSUMO DE ENERGIA UTILIZANDO REDE NEURAL COM RETARDO DE TEMPO (TDNN)
Author(s) -
Bruno Parpinelli Bonfim,
Rafael Bratifich,
Marcelo Marques da Silva,
Hugo Gomes Silva
Publication year - 2021
Publication title -
colloquium exactarum
Language(s) - English
Resource type - Journals
ISSN - 2178-8332
DOI - 10.5747/ce.2020.v12.n4.e340
Subject(s) - artificial neural network , computer science , time delay neural network , artificial intelligence , speech recognition , pattern recognition (psychology)
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