Please use this identifier to cite or link to this item:
https://dspace.univ-ouargla.dz/jspui/handle/123456789/20942
Title: | Ontology-based Temporal Context Reasoning Approach For Saving Energy in Smart Building |
Authors: | Degha, Houssem Eddine Laallam, Fatima Zohra Bachir, Said |
Keywords: | Energy Efficiency Smart Building Temporal Context Ontology Context-awareness SWRL rules proteg´ e´ 5 |
Issue Date: | 5-Mar-2019 |
Publisher: | Université Kasdi Merbah Ouargla |
Series/Report no.: | 2019; |
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 at the smart building without examining the effects that may result from the implementation of these decisions. The series implementation of those services can lead to deficient energysaving policy, even if those decisions save some wasted energy in current situations. In this paper, we present a new approach for saving energy in smart buildings based on temporal context called TempCSESB (temporal context for Saving energy in the smart building). TempCSESB uses a new technique to enhance the effectiveness of energy-saving decisions. Before applying those decisions in the real smart building, the proposed method uses temporal context to test provided services in temporal phase. This temporal context model contains a full description of the current state of the smart building to simulate the building situations in a temporal context. The proposed approach allows knowing the effect of the services before applying them to the real smart building. |
Description: | Le 2eme Conference Internationale sur intelligence Artificielle et les Technologies Information ICAIIT 2019 |
URI: | http://dspace.univ-ouargla.dz/jspui/handle/123456789/20942 |
Appears in Collections: | 2. Faculté des nouvelles technologies de l’information et de la communication |
Files in This Item:
File | Description | Size | Format | |
---|---|---|---|---|
Houssem Eddine Degha.pdf | 1,31 MB | Adobe PDF | View/Open |
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.