Title :
Evolutionary computation and genetic algorithms for energy management and conservation
Author :
Garzia, Fabio ; Veca, Giuseppe M.
Author_Institution :
Dipt. di Ingegneria Elettrica, Universita degli Studi "La Sapienza", Rome, Italy
Abstract :
A genetic algorithm based strategy that can be implemented in a low cost electronic microcontroller for energy management and conservation application is presented. It is capable of guaranteeing high performance, adapting and evolving its behavior according to the environmental controlled parameters change.
Keywords :
energy conservation; energy management systems; genetic algorithms; microcontrollers; power system control; building energy flows control; building energy flows management; energy conservation; energy management; environmental controlled parameters change; evolutionary computation; genetic algorithms; high performance; low cost electronic microcontroller; Buildings; Control systems; Costs; Energy management; Environmental management; Evolutionary computation; Genetic algorithms; Hardware; Microcontrollers; Temperature;
Conference_Titel :
Telecommunications Energy Conference, 2002. INTELEC. 24th Annual International
Print_ISBN :
0-7803-7512-2
DOI :
10.1109/INTLEC.2002.1048685
