TY  - JOUR
T1  - A Novel Smart Home Energy Management System for Residential Buildings
AU - Jayashree, L.S. AU - Venkatessh, Amutha AU - Thirumal, Athish 
JO  - Asian Journal of Information Technology
VL  - 15
IS  - 19
SP  - 3793
EP  - 3800
PY  - 2016
DA  - 2001/08/19
SN  - 1682-3915
DO  - ajit.2016.3793.3800
UR  - https://makhillpublications.co/view-article.php?doi=ajit.2016.3793.3800
KW  - Novel
KW  -smart
KW  -home
KW  -system
KW  -energy
AB  - 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.
ER  -