Optimized Power Control Methodology Using Genetic Algorithm Safdar Ali • Do-Hyeun Kim Ó Springer Science+Business Media New York 2015 Abstract Providing an energy efficient environment to the occupants of the residential buildings is an interesting area of research. In the literature a number of techniques have been proposed for energy management, but the trade-off between users comfort index and energy consumption is still a challenge and unsolved. Previously we have proposed PSO based power control methodology. Our technique achieved good performance up-to some extent. In this paper, we propose an improved optimized power control methodology for occupants comfort index, energy saving and energy prediction using genetic algorithm (GA). Our proposed GA based optimized technique improved the occupants comfort index and consumed minimum power as compare to our previous work. Here our focus is to increase occupants comfort index, minimize energy consumption and comparison of power consumption using GA and PSO based predicted systems. GA based predicted system consumed less power as compare to its counterpart PSO based predicted system. The output and comparative results show the efficiency of the proposed method in increasing the occupant’s comfort index and minimizing energy consumption. Keywords Energy management  Genetic algorithms  Comfort index  Fuzzy logic  Energy saving and prediction List of symbols T Temperature L Illumination A Air-quality USP User set parameters AP Adjusted power CP Consume power S. Ali  D.-H. Kim (&) Department of Computer Engineering, Jeju National University, Jeju, Republic of South Korea e-mail: kimdh@jejunu.ac.kr S. Ali e-mail: safdar.ali.sannan@gmail.com 123 Wireless Pers Commun DOI 10.1007/s11277-015-2405-3