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vol.77 issue163HOTELLING'S T² CONTROL CHARTS BASED ON ROBUST ESTIMATORSPRODUCTION SCHEDULING WITH SEQUENCE-DEPENDENT SETUPS AND JOB RELEASE TIMES author indexsubject indexarticles search
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DYNA

Print version ISSN 0012-7353On-line version ISSN 2346-2183

Abstract

ROMERO, RICARDO; GIRAL, DIEGO  and  HERNANDEZ, CESAR. ANALYSIS AND REVIEW OF THE CONTRIBUTION OF NEURAL NETWORKS TO SAVING ELECTRICITY IN RESIDENTIAL LIGHTING BY A DESIGN IN MATLAB. Dyna rev.fac.nac.minas [online]. 2010, vol.77, n.163, pp.248-259. ISSN 0012-7353.

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.

Keywords : Neural network; time schedules; total saving; personal savings; lighting control.

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