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Load Balancing Integrated Least Slack Time-Based Appliance Scheduling for Smart Home Energy Management

School of Computer Science and Engineering, Kyungpook National University, Daegu, 41566, Korea
Department of Computer Science, Sarhad University of Science and information Technology, Peshawar 25000, Pakistan
Author to whom correspondence should be addressed.
Sensors 2018, 18(3), 685;
Received: 11 January 2018 / Revised: 18 February 2018 / Accepted: 22 February 2018 / Published: 25 February 2018
(This article belongs to the Special Issue Smart Homes)
PDF [7658 KB, uploaded 26 February 2018]


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. View Full-Text
Keywords: smart home; appliance scheduling; least slack time; load balancing; energy management smart home; appliance scheduling; least slack time; load balancing; energy management

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Silva, B.N.; Khan, M.; Han, K. Load Balancing Integrated Least Slack Time-Based Appliance Scheduling for Smart Home Energy Management. Sensors 2018, 18, 685.

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