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Article

A Comprehensive Review on Residential Demand Side Management Strategies in Smart Grid Environment

1
Department of Electrical Engineering, ZHCET, Aligarh Muslim University, Aligarh 202002, India
2
Capability Systems Centre, School of Engineering and Information Technology, University of New South Wales, Canberra, ACT 2612, Australia
3
Department of Electrical Engineering, College of Engineering, Taif University, Taif 21944, Saudi Arabia
*
Author to whom correspondence should be addressed.
Academic Editor: Yateendra Mishra
Sustainability 2021, 13(13), 7170; https://0-doi-org.brum.beds.ac.uk/10.3390/su13137170
Received: 2 May 2021 / Revised: 28 May 2021 / Accepted: 9 June 2021 / Published: 25 June 2021
The ever increasing demand for electricity and the rapid increase in the number of automatic electrical appliances have posed a critical energy management challenge for both utilities and consumers. Substantial work has been reported on the Home Energy Management System (HEMS) but to the best of our knowledge, there is no single review highlighting all recent and past developments on Demand Side Management (DSM) and HEMS altogether. The purpose of each study is to raise user comfort, load scheduling, energy minimization, or economic dispatch problem. Researchers have proposed different soft computing and optimization techniques to address the challenge, but still it seems to be a pressing issue. This paper presents a comprehensive review of research on DSM strategies to identify the challenging perspectives for future study. We have described DSM strategies, their deployment and communication technologies. The application of soft computing techniques such as Fuzzy Logic (FL), Artificial Neural Network (ANN), and Evolutionary Computation (EC) is discussed to deal with energy consumption minimization and scheduling problems. Different optimization-based DSM approaches are also reviewed. We have also reviewed the practical aspects of DSM implementation for smart energy management. View Full-Text
Keywords: demand response; demand-side management; energy consumption optimization; energy efficiency; load scheduling; smart grid; smart home demand response; demand-side management; energy consumption optimization; energy efficiency; load scheduling; smart grid; smart home
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MDPI and ACS Style

Iqbal, S.; Sarfraz, M.; Ayyub, M.; Tariq, M.; Chakrabortty, R.K.; Ryan, M.J.; Alamri, B. A Comprehensive Review on Residential Demand Side Management Strategies in Smart Grid Environment. Sustainability 2021, 13, 7170. https://0-doi-org.brum.beds.ac.uk/10.3390/su13137170

AMA Style

Iqbal S, Sarfraz M, Ayyub M, Tariq M, Chakrabortty RK, Ryan MJ, Alamri B. A Comprehensive Review on Residential Demand Side Management Strategies in Smart Grid Environment. Sustainability. 2021; 13(13):7170. https://0-doi-org.brum.beds.ac.uk/10.3390/su13137170

Chicago/Turabian Style

Iqbal, Sana, Mohammad Sarfraz, Mohammad Ayyub, Mohd Tariq, Ripon K. Chakrabortty, Michael J. Ryan, and Basem Alamri. 2021. "A Comprehensive Review on Residential Demand Side Management Strategies in Smart Grid Environment" Sustainability 13, no. 13: 7170. https://0-doi-org.brum.beds.ac.uk/10.3390/su13137170

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