Análisis del empleo de redes de reconocimiento de patrones en la aplicación de redes eléctricas inteligentes

Raúl Andrés  García Talledo; Lenin  Cuenca Álava

doi:10.51798/sijis.v3i2.408

Authors

Raúl Andrés García Talledo Universidad Técnica de Manabí, Ecuador.
Lenin Cuenca Álava Universidad Técnica de Manabí, Ecuador https://orcid.org/0000-0002-5079-9469

DOI:

https://doi.org/10.51798/sijis.v3i2.408

Keywords:

Input variables, energy consumption, The Neural Net Pattern Recognition

Abstract

Pattern recognition is based on recognizing the unique properties that identify an individual from others of the same species. The methodology was based on knowing the load and energy consumption generated by the Faculty of Mathematics, Physics and Chemistry of the Technical University of Manabí, in the same way the structure of "The Neural Net Pattern Recognition" was used. pattern recognition), which were trained to classify the inputs according to their classes, carried out using the Matlab R2017b software, with which the training of the network was done with different numbers of neurons in the hidden layer, where values of 10,15,20,25 and 30 were used to obtain the lowest error, the following objectives were set: Know the load and the energy consumption that it generates in the FCMFQ, select the variable that will be established as inputs to the network, training of the smart network using the Matlab software and analyzing the results obtained with the training, The comparison between the different trainings of the network with the mentioned values of the neurons was made, choosing to choose 30 neurons, obtaining the lowest error (0). In conclusion, the use of an intelligent electrical network with the implementation of the ANN technique is beneficial, since, if an intelligent electrical network is implemented throughout the UTM campus, it will be possible to obtain more profitable energy efficiency.

Author Biographies

Raúl Andrés García Talledo, Universidad Técnica de Manabí, Ecuador.

Maestría en Electricidad Mención Sistemas Eléctricos de Potencia - Universidad Técnica de Manabí, Ecuador.

Lenin Cuenca Álava, Universidad Técnica de Manabí, Ecuador

Universidad Técnica de Manabí, Ecuador

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