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Energy Management With a World-Wide Adaptive Thermostat Using Fuzzy Inference System

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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


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