dc.contributor.author | Javaid, Sakeena | |
dc.contributor.author | Javaid, Nadeem | |
dc.contributor.author | Iqbal, Sohail | |
dc.date.accessioned | 2019-11-11T07:29:15Z | |
dc.date.available | 2019-11-11T07:29:15Z | |
dc.date.issued | 2018-04-17 | |
dc.identifier.issn | 2169-3536 | |
dc.identifier.uri | http://142.54.178.187:9060/xmlui/handle/123456789/1110 | |
dc.description.abstract | Energy management of residential buildings plays an important role in a smart grid. Region specific fuzzy logic strategies are proposed recently. However, no such approach exists that covers all regions of the world. A fuzzy logic-based strategy for the construction of fuzzy controller covering the entire globe would be cost effective due to the increasing power of micro-controllers. Results show that our proposed approach achieves a minimum energy savings of 6.5%, irrespective of where it is used around the world. This research will provide a model for extending the region specific solutions for a worldwide adaption. | en_US |
dc.language.iso | en_US | en_US |
dc.publisher | IEEE | en_US |
dc.subject | COMSATS | en_US |
dc.subject | fuzzy inference systems | en_US |
dc.subject | Energy management | en_US |
dc.subject | thermostat | en_US |
dc.subject | smart grid | en_US |
dc.subject | fuzzy logic | en_US |
dc.title | Energy Management With a World-Wide Adaptive Thermostat Using Fuzzy Inference System | en_US |
dc.type | Article | en_US |