Publicado

2010-07-01

ANALYSIS AND REVIEW OF THE CONTRIBUTION OF NEURAL NETWORKS TO SAVING ELECTRICITY IN RESIDENTIAL LIGHTING BY A DESIGN IN MATLAB

Palabras clave:


Neural network, time schedules, total saving, personal savings, lighting control. (es)

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Autores/as

  • RICARDO ROMERO Technician in Electricity, Distrital Francisco Jose de Caldas University, Electrical Engineering Student
  • DIEGO GIRAL Technician in Electricity, Distrital Francisco Jose de CaldasUniversity, Electrical Engineering Student
  • CESAR HERNANDEZ Electronic Engineer, Distrital Francisco Jose de Caldas University, Professor
In this document is presented the implementation of the programming schedules as a method of lighting control, to perform a total saving and a personalized saving using neural networks. With the acquisition of a series of data about the operation of five lightings located in different parts of a specific house, it was designed a neural network to illuminate it and was implemented this design to the remaining. These neural networks were trained with input vectors; hour of the day, day of the week, holiday Monday’s and their respective objective vectors “total saving and personalized saving” with the purpose of evaluating the performance of the neural networks in the optimization of methods for saving electric energy in residential lighting.

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