Title :
Anticipation the consumed electrical power in Smart Home using evolutionary algorithms
Author :
Elmahalawy, Ahmed Mustafa ; Elfishawy, Newal ; El-dien, Mohamed Nour
Author_Institution :
Comput. Sci. & Eng. Dept., Minufiya Univ., Menouf, Egypt
Abstract :
One of the leading technologies is the Smart Home, where the home itself recognizes certain changes in home environment and provides adequate services to residents. Also, the Smart Home can anticipate the any dangerous state so it can adapt itself for this future case. Our goal is to anticipate states with too large power take-off; it means to eliminate power spikes. Program allows starting of simulation also without anticipation. The results are suitable for comparison with simulations with the block of anticipation. Anticipation based on evolutionary algorithms. So, we can see the quality of anticipation in the best way.
Keywords :
evolutionary computation; home automation; home computing; multi-agent systems; power utilisation; consumed electrical power anticipation; evolutionary algorithms; large power take-off; power spike elimination; smart home; Artificial intelligence; Computer science; Energy management; Evolutionary computation; Home automation; Learning systems; Power engineering and energy; Power system management; Power system modeling; Smart homes;
Conference_Titel :
Multimedia Computing and Information Technology (MCIT), 2010 International Conference on
Conference_Location :
Sharjah
Print_ISBN :
978-1-4244-7001-3
DOI :
10.1109/MCIT.2010.5444847