An Improved Optimization Function for Maximizing User Comfort with Minimum Energy Consumption in Smart Homes
Computer Engineering Department, Jeju National University, Jeju 63243, Korea
Author to whom correspondence should be addressed.
Received: 15 October 2017 / Revised: 2 November 2017 / Accepted: 7 November 2017 / Published: 9 November 2017
In the smart home environment, efficient energy management is a challenging task. Solutions are needed to achieve a high occupant comfort level with minimum energy consumption. User comfort is measured in terms of three fundamental parameters: (a) thermal comfort, (b) visual comfort and (c) air quality. Temperature, illumination and CO
sensors are used to collect indoor contextual information. In this paper, we have proposed an improved optimization function to achieve maximum user comfort in the building environment with minimum energy consumption. A comprehensive formulation is done for energy optimization with detailed analysis. The Kalman filter algorithm is used to remove noise in sensor readings by predicting actual parameter values. For optimization, we have used genetic algorithm (GA) and particle swarm optimization (PSO) algorithms and performed comparative analysis with a baseline scheme on real data collected for a one-month duration in our lab’s indoor environment. Experimental results show that the proposed optimization function has achieved a
reduction in energy consumption with PSO and GA, respectively. The user comfort index was also improved by
. GA-based optimization results were better than PSO, as it has achieved almost the same user comfort with
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MDPI and ACS Style
Ullah, I.; Kim, D. An Improved Optimization Function for Maximizing User Comfort with Minimum Energy Consumption in Smart Homes. Energies 2017, 10, 1818.
Ullah I, Kim D. An Improved Optimization Function for Maximizing User Comfort with Minimum Energy Consumption in Smart Homes. Energies. 2017; 10(11):1818.
Ullah, Israr; Kim, DoHyeun. 2017. "An Improved Optimization Function for Maximizing User Comfort with Minimum Energy Consumption in Smart Homes." Energies 10, no. 11: 1818.
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