Title :
Fuzzy logic applied for decision making in a demand management system
Author :
Wenzel, J.A. ; Neusser, Lukas ; Canha, Luciane N.
Author_Institution :
Aluno de Grad. em Eng. Eletr., Univ. Fed. de Santa Maria, Santa Maria, Brazil
Abstract :
Considering that air conditioners are responsible for much of the demand and energy consumption in public buildings, this paper presents a proposal for intelligent demand management in public school buildings through a methodology based on fuzzy logic systems. The method aims to make the implementation of a demand management system economically attractive, using variables that do not depend on the installation of sensors.
Keywords :
air conditioning; building management systems; decision making; demand side management; energy consumption; fuzzy logic; power system economics; power system management; air conditioner; decision making; energy consumption; fuzzy logic system; intelligent demand management system; public school building; sensor; Buildings; Electronic mail; Fuzzy logic; Fuzzy systems; MATLAB; Mathematical model; Smart grids; Smart Grid; Smart demand management; fuzzy logic;
Conference_Titel :
Innovative Smart Grid Technologies Latin America (ISGT LA), 2013 IEEE PES Conference On
Conference_Location :
Sao Paulo
Print_ISBN :
978-1-4673-5272-7
DOI :
10.1109/ISGT-LA.2013.6554451
