Analysis and review of the contribution of neural networks to saving electricity in residential lighting by a design in matlab

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.

• Autores: Romero Romero, Ricardo; Giral Ramírez, Diego Armando; Hernández Suarez, Cesar Augusto
• Tipo de recurso: Article of journal
• Fecha de publicación: 2010
• Institución: Universidad Nacional de Colombia
• Repositorio: Universidad Nacional de Colombia
• Idioma: spa
• OAI Identifier: oai:repositorio.unal.edu.co:unal/37604
• Acceso en línea: https://repositorio.unal.edu.co/handle/unal/37604; http://bdigital.unal.edu.co/27688/
• Palabra clave: Neural network; time schedules; total saving; personal savings; lighting control.
• Rights: openAccess
• License: Atribución-NoComercial 4.0 Internacional