Appliance Level Energy Characterization of Residential Electricity Demand: Prospects, Challenges and Recommendations
The advent of information and communication technologies has paved the way for smart cities. Residential customers are the major consumers of electrical energy in such cities. Smart meters gather the energy consumption behavior of consumers at the aggregate/household level. Characterization of aggre...
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2021
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oai:doaj.org-article:0614d4b099c44488adfc0f2ac9cdfeb02021-11-18T00:08:08ZAppliance Level Energy Characterization of Residential Electricity Demand: Prospects, Challenges and Recommendations2169-353610.1109/ACCESS.2021.3123196https://doaj.org/article/0614d4b099c44488adfc0f2ac9cdfeb02021-01-01T00:00:00Zhttps://ieeexplore.ieee.org/document/9585715/https://doaj.org/toc/2169-3536The advent of information and communication technologies has paved the way for smart cities. Residential customers are the major consumers of electrical energy in such cities. Smart meters gather the energy consumption behavior of consumers at the aggregate/household level. Characterization of aggregate demand data has several advantages but significant benefits in terms of energy sustainability require Appliance Level Energy Characterization (ALEC). Various solutions for ALEC rely on sensors, smart plugs, smart appliances, smart meters, and/or energy disaggregation algorithms but smart meters with built-in energy disaggregation algorithms seem to be the most scalable option. This work is one of the pioneering contributions to present comprehensive applications and prospects of ALEC for smart residential communities. It also links these applications with 2050 decarbonization pathways and various United Nations (UN) sustainable development goals (SDGs). Prospective uses of ALEC in diverse fields such as power systems, health care, the social sciences, economics, surveillance, marketing, appliance manufacturing, technology development, etc. are highlighted. Moreover, the requirements and challenges hindering the large-scale deployment of the ALEC frameworks are outlined with some recommendations and open research directions. It is envisaged that ALEC of residential electricity can be exploited not only for achieving 2050 decarbonization targets but also for several 2030 SDGs. This work will provide a one-stop source of information on ALEC and will open the doors of cooperation among various stakeholders of smart cities to achieve long-term SDGs.Rehan LiaqatIntisar Ali SajjadMuhammad WaseemHassan Haes AlhelouIEEEarticleDemand side managementenergy characterizationenergy consumption behaviorenergy disaggregationnon-intrusive load monitoringsmart citiesElectrical engineering. Electronics. Nuclear engineeringTK1-9971ENIEEE Access, Vol 9, Pp 148676-148697 (2021) |
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Demand side management energy characterization energy consumption behavior energy disaggregation non-intrusive load monitoring smart cities Electrical engineering. Electronics. Nuclear engineering TK1-9971 |
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Demand side management energy characterization energy consumption behavior energy disaggregation non-intrusive load monitoring smart cities Electrical engineering. Electronics. Nuclear engineering TK1-9971 Rehan Liaqat Intisar Ali Sajjad Muhammad Waseem Hassan Haes Alhelou Appliance Level Energy Characterization of Residential Electricity Demand: Prospects, Challenges and Recommendations |
description |
The advent of information and communication technologies has paved the way for smart cities. Residential customers are the major consumers of electrical energy in such cities. Smart meters gather the energy consumption behavior of consumers at the aggregate/household level. Characterization of aggregate demand data has several advantages but significant benefits in terms of energy sustainability require Appliance Level Energy Characterization (ALEC). Various solutions for ALEC rely on sensors, smart plugs, smart appliances, smart meters, and/or energy disaggregation algorithms but smart meters with built-in energy disaggregation algorithms seem to be the most scalable option. This work is one of the pioneering contributions to present comprehensive applications and prospects of ALEC for smart residential communities. It also links these applications with 2050 decarbonization pathways and various United Nations (UN) sustainable development goals (SDGs). Prospective uses of ALEC in diverse fields such as power systems, health care, the social sciences, economics, surveillance, marketing, appliance manufacturing, technology development, etc. are highlighted. Moreover, the requirements and challenges hindering the large-scale deployment of the ALEC frameworks are outlined with some recommendations and open research directions. It is envisaged that ALEC of residential electricity can be exploited not only for achieving 2050 decarbonization targets but also for several 2030 SDGs. This work will provide a one-stop source of information on ALEC and will open the doors of cooperation among various stakeholders of smart cities to achieve long-term SDGs. |
format |
article |
author |
Rehan Liaqat Intisar Ali Sajjad Muhammad Waseem Hassan Haes Alhelou |
author_facet |
Rehan Liaqat Intisar Ali Sajjad Muhammad Waseem Hassan Haes Alhelou |
author_sort |
Rehan Liaqat |
title |
Appliance Level Energy Characterization of Residential Electricity Demand: Prospects, Challenges and Recommendations |
title_short |
Appliance Level Energy Characterization of Residential Electricity Demand: Prospects, Challenges and Recommendations |
title_full |
Appliance Level Energy Characterization of Residential Electricity Demand: Prospects, Challenges and Recommendations |
title_fullStr |
Appliance Level Energy Characterization of Residential Electricity Demand: Prospects, Challenges and Recommendations |
title_full_unstemmed |
Appliance Level Energy Characterization of Residential Electricity Demand: Prospects, Challenges and Recommendations |
title_sort |
appliance level energy characterization of residential electricity demand: prospects, challenges and recommendations |
publisher |
IEEE |
publishDate |
2021 |
url |
https://doaj.org/article/0614d4b099c44488adfc0f2ac9cdfeb0 |
work_keys_str_mv |
AT rehanliaqat appliancelevelenergycharacterizationofresidentialelectricitydemandprospectschallengesandrecommendations AT intisaralisajjad appliancelevelenergycharacterizationofresidentialelectricitydemandprospectschallengesandrecommendations AT muhammadwaseem appliancelevelenergycharacterizationofresidentialelectricitydemandprospectschallengesandrecommendations AT hassanhaesalhelou appliancelevelenergycharacterizationofresidentialelectricitydemandprospectschallengesandrecommendations |
_version_ |
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