Journal
SENSORS
Volume 18, Issue 3, Pages -Publisher
MDPI
DOI: 10.3390/s18030685
Keywords
smart home; appliance scheduling; least slack time; load balancing; energy management
Funding
- Institute for Information & Communications Technology Promotion (IITP) - Korean government (MSIP) [2017-0-00770]
- BK21 Plus Project (SW Human Resource Development Program for Supporting Smart Life) - Ministry of Education, School of Computer Science and Engineering, Kyungpook National University, Korea [21A20131600005]
- Basic Science Research Program through the National Research Foundation of Korea (NRF) - Ministry of Education [2016R1D1A1B03933566]
- National Research Foundation of Korea [2016R1D1A1B03933566, 21A20131600005] Funding Source: Korea Institute of Science & Technology Information (KISTI), National Science & Technology Information Service (NTIS)
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The emergence of smart devices and smart appliances has highly favored the realization of the smart home concept. Modern smart home systems handle a wide range of user requirements. Energy management and energy conservation are in the spotlight when deploying sophisticated smart homes. However, the performance of energy management systems is highly influenced by user behaviors and adopted energy management approaches. Appliance scheduling is widely accepted as an effective mechanism to manage domestic energy consumption. Hence, we propose a smart home energy management system that reduces unnecessary energy consumption by integrating an automated switching off system with load balancing and appliance scheduling algorithm. The load balancing scheme acts according to defined constraints such that the cumulative energy consumption of the household is managed below the defined maximum threshold. The scheduling of appliances adheres to the least slack time (LST) algorithm while considering user comfort during scheduling. The performance of the proposed scheme has been evaluated against an existing energy management scheme through computer simulation. The simulation results have revealed a significant improvement gained through the proposed LST-based energy management scheme in terms of cost of energy, along with reduced domestic energy consumption facilitated by an automated switching off mechanism.
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