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

Sakeena Javaid | Zendy; Nadeem Javaid | Zendy; Sohail Iqbal | Zendy; Mohsen Guizani | Zendy; Ahmad Al-Mogren | Zendy; Atif Alamri | Zendy

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

Author(s) -

Sakeena Javaid,

Nadeem Javaid,

Sohail Iqbal,

Mohsen Guizani,

Ahmad Al-Mogren,

Atif Alamri

Publication year - 2018

Publication title -

ieee access

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.587

H-Index - 127

ISSN - 2169-3536

DOI - 10.1109/access.2018.2828040

Subject(s) - aerospace , bioengineering , communication, networking and broadcast technologies , components, circuits, devices and systems , computing and processing , engineered materials, dielectrics and plasmas , engineering profession , fields, waves and electromagnetics , general topics for engineers , geoscience , nuclear engineering , photonics and electrooptics , power, energy and industry applications , robotics and control systems , signal processing and analysis , transportation

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.

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