sensors Article IoT Operating System Based Fuzzy Inference System for Home Energy Management System in Smart Buildings Qurat-ul-Ain 1, Sohail Iqbal 1,∗ ID , Safdar Abbas Khan 1 ID , Asad Waqar Malik 1 ID , Iftikhar Ahmad 1 and Nadeem Javaid 2 1 School of Electrical Engineering and Computer Science (SEECS), National University of Sciences and Technology (NUST), Islamabad 44000, Pakistan;
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[email protected]; Tel.: +92-336-5501-539 Received: 2 August 2018; Accepted: 20 August 2018; Published: 25 August 2018 Abstract: Energy consumption in the residential sector is 25% of all the sectors. The advent of smart appliances and intelligent sensors have increased the realization of home energy management systems. Acquiring balance between energy consumption and user comfort is in the spotlight when the performance of the smart home is evaluated. Appliances of heating, ventilation and air conditioning constitute up to 64% of energy consumption in residential buildings. A number of research works have shown that fuzzy logic system integrated with other techniques is used with the main objective of energy consumption minimization. However, user comfort is often sacrificed in these techniques. In this paper, we have proposed a Fuzzy Inference System (FIS) that uses humidity as an additional input parameter in order to maintain the thermostat set-points according to user comfort.