Modelling and Analysis of Home Energy Management System Using Intelligent Algorithms

In the Home Energy Management System (HEMS), mathematical optimization has been approved to be a convincing tool for reducing the energy consumption. This HEMS approach considers the mathematical modelling of the heating, ventilation, air conditioning (HVAC) and lighting system with occupant's comfortable thermal conditions. In this paper, the proposed model is implemented for standalone residence. Further, to minimize energy consumption, intelligent algorithms and CPLEX solver in YALMIP toolbox have been applied to the formulated objective. The results have been analysed in terms of energy consumption and computation time consumed by different algorithms and toolbox. The results aided in determining the most promising optimization approach among the different algorithms and toolbox. Eventually, research was helped to assess the efficacy as well as the adaptability of the propounded framework.