Hybrid energy optimization and power control model S. Ali and D.H. Kim Abstract-Intelligent and energy efficient optimized prediction model in residential buildings get attention of the research community in last couple of decades. Various techniques and models have been proposed by research community for optimized energy management and prediction, but the limitation between user comfort index and energy consumption is still a big test to the research community. Previously we have proposed energy consumption optimization and prediction models using genetic algorithm (GA) and particle swarm optimization (PSO). Our proposed models produced good results up-to some level, but more improvement can be made by incorporating better optimization algorithms in the energy system. In this paper, we present a hybrid optimization of energy management and power control model using hybrid optimization of GA and PSO for user comfort level and power consumption reduction. The objective of the proposed model is to maximize occupant’s comfort level and reduce power consumption using hybrid energy optimization and power prediction technique. The proposed model results in energy saving comfortable environment by minimizing consumed power and refining occupant’s comfort level as compared to our previous basic GA based power prediction model and PSO based power prediction model. The experimental results describes the effectiveness of the proposed intelligent model in reducing the consumed predicted power and enhancing the user's comfort level. I. INTRODUCTION Energy plays a very important role in future energy efficient buildings. Without proper management of energy consumption and production, economic development is not possible. In residential sector, power consumption conservation and user’s comfort level are two foremost design aims in forthcoming power efficient building environment. As the development of electronic devices and home appliances increase, the use of power consumption is also increases exponentially in residential sector, while on the other side the sources of power generations are limited and costly as well. Keeping in view the immense use of power in residential sector, it is a challenging problem to deal with the design objectives of the residential sector by consuming less power and providing sufficient comfort index. This results in trade-off between the two design objectives [1-5]. To tackle this trade-off residential sector needed, smart, intelligent and energy efficient power control model to sustain both power usage and user’s comfort level. In residential sectors, there are three elementary aspects which constitute the level of life. These aspects are air- quality comfort, thermal comfort and visual comfort level [6]. To maintain air-quality in residential sector, CO2 concentration is used as an index to measure the air-quality in the residential building. CO2 concentration can be decreased by ventilation system [7]. To define and maintain a reasonable level of visual comfort index, illumination and electrical lighting system setting is used in the residential building [8]. Temperature reflects the thermal comfort of the residence in a residential building. To maintain a certain level of temperature in a building and to provide a comfortable zone, HVAC system is used. So keeping in mind the importance of these three parameters, the grouping of these three parameters supports our arguments as occupant’s comfort index in the residential building. We grouped these three parameters in a certain way to assess the user’s comfort level and power reduction in residential buildings. The literature review that we have done regarding power reduction in building sectors shows that several study have been proposed in the capacity of power efficiency to maintain a certain level of occupants comfort index and International Journal of Computer Science and Information Security (IJCSIS), Vol. 14, No. 10, October 2016 536 https://sites.google.com/site/ijcsis/ ISSN 1947-5500