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 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.

Highlights

  • The evolution of smart appliances has bolstered the “Internet of Things” (IoT) notion by connecting heterogeneous everyday appliances via the existing networks [1]

  • Even though appliance scheduling is incorporated in many proposed works, the applicability is hindered by the user comfort level

  • We have proposed a user-friendly least slack time (LST)-based scheduling mechanism that operates on cumulative load balancing

Read more

Summary

Introduction

The evolution of smart appliances has bolstered the “Internet of Things” (IoT) notion by connecting heterogeneous everyday appliances via the existing networks [1]. Expansion of the IoT concept has pioneered novel applications, i.e., smart home, smart healthcare, smart warehouse, smart grid, smart city, etc. The smart home concept was initially proposed to manage rapidly growing smart domestic appliances [7]. The general purpose of smart home control systems has deviated to explicit purposes, such as energy management, energy conservation, remote appliance control, etc. Extensive energy demands have drawn the attention of experts in both industry and academia to implement energy efficient smart home applications. Subsequent to drastic energy consumption, the world is looking forward to exploring new realms of energy conservation and generation. Energy consumption of a residential habitat varies with the time of the day, the day of the week, and season of the year. Time of Use (ToU) pricing was introduced in a number of scenarios to encourage energy consumers to schedule their loads from expensive peak hours

Objectives
Results
Conclusion
Full Text
Published version (Free)

Talk to us

Join us for a 30 min session where you can share your feedback and ask us any queries you have

Schedule a call