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 : Ontology-based Temporal Context Reasoning Approach For Saving Energy in Smart Building