Authors : L.S. Jayashree, Amutha Venkatessh and Athish Thirumal
Abstract: Development of smart environments is one of the hot researching fields of this digital era. Integration of data mining techniques with building energy management mechanisms improve the accuracy of energy management strategies. The goal of such mechanisms is to reduce the electricity consumption while maintaining maximum user comfort. Introduction of Time of Use (TOU) tariff reduces the energy consumption charges. Hence, appropriate demand shifting mechanisms can reduce the electricity cost by scheduling some of the peak load to less costive hours. The behavior profiling of the residents of a smart home equipped with ambient sensing is expected to give vital inputs to intelligent appliance scheduling algorithms designed with an objective to minimize residential energy consumption. Simulation results show that 16-17% of energy is saved by integrating TOU based scheduling with occupancy detection system without reducing user comfort.
L.S. Jayashree, Amutha Venkatessh and Athish Thirumal, 2016. A Novel Smart Home Energy Management System for Residential Buildings. Asian Journal of Information Technology, 15: 3793-3800.