Title :
Intelligent system for efficient management of electrical energy
Author :
Quintero M, Christian G. ; Trivino Barrios, Y.P. ; Terraza Rivera, E.R.
Author_Institution :
Electr. & Electron. Eng. Dept., Univ. del Norte, Barranquilla, Colombia
Abstract :
This paper presents an intelligent system based on Back Propagation (BP) Neural Network implementation that aids to decrease power consumption in three different environments: Residential, Commercial and Industrial. A graphical interface was designed to provide the user with detailed information on consumption of the devices installed in each of the above environments, and allows the modification of parameters such as number of devices, power consumption associated to the levels specified for each device, environmental conditions, among others. Implementing the system developed in different environments, power consumption was lower than the one generated by implementing models without intelligent management. Additionally, we could estimate the savings in wear life of the devices, compared to the implementation of the system without intelligent management.
Keywords :
backpropagation; energy conservation; energy management systems; graphical user interfaces; neural nets; power consumption; power engineering computing; wear; BP neural network; back propagation neural network implementation; commercial environments; device wear life; environmental conditions; graphical interface; industrial environments; intelligent electrical energy management system; power consumption; residential environments; Biological neural networks; Electricity; Energy consumption; Intelligent systems; Neurons; Neural Network; efficient management; energy consumption; intelligent system;
Conference_Titel :
Informatica (CLEI), 2012 XXXVIII Conferencia Latinoamericana En
Conference_Location :
Medellin
Print_ISBN :
978-1-4673-0794-9
DOI :
10.1109/CLEI.2012.6427176
