Houssem Eddine Degha
Lab.Laboratoire de l’Intelligence Artificielle et des Technologies de l’Information Facultédes nouvelles technologies de l’information et de la communication
Universite´ Kasdi Merbah Ouargla Ouargla,30000, Algerié
Abstract
The majority of intelligent approaches supporting advanced energy-saving policies require a learning phase. Preliminary and necessary knowledge is acquired to allow the smart building management system to provide efficient energy saving services. But all those approaches are non-temporal. Decisions results from energy saving artificial intelligent algorithms run out...
Télécharger l'article :