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

Sensors
Bhagya Nathali SilvaKijun Han

Abstract

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 p...Continue Reading

References


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Citations

Feb 20, 2019·Sensors·Alessandro FreddiAndrea Monteriù
Mar 11, 2019··Sourajit BeheraRajiv Misra

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Software Mentioned

ZigBee
SAMS
GLSM
FLSM
LST

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