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Smart home energy management systems: Research challenges and survey

Authors :
Ali Raza
Li Jingzhao
Yazeed Ghadi
Muhammad Adnan
Mansoor Ali
Source :
Alexandria Engineering Journal, Vol 92, Iss , Pp 117-170 (2024)
Publication Year :
2024
Publisher :
Elsevier, 2024.

Abstract

Electricity is establishing ground as a means of energy, and its proportion will continue to rise in the next generations. Home energy usage is expected to increase by more than 40% in the next 20 years. Therefore, to compensate for demand requirements, proper planning and strategies are needed to improve home energy management systems (HEMs). One of the crucial aspects of HEMS are proper load forecasting and scheduling of energy utilization. Energy management systems depend heavily on precise forecasting and scheduling. Considering this scenario, this article was divided into two parts. Firstly, this article gives a thorough analysis of forecasting models in HEMs with the primary goal of determining whichever model is most appropriate in a given situation. Moreover, for optimal utilization of scheduling strategies in HEMs, the current literature has discussed a number of scheduling optimization approaches. Therefore, secondly in this article, these approaches will be examined thoroughly to develop effective operating scheduling and to make wise judgments regarding usage of these techniques in HEMs. Finally, this paper also presents the future technical advancements and research gaps in load forecasting and scheduling and how they affect HEMs activities in the near future.

Details

Language :
English
ISSN :
11100168
Volume :
92
Issue :
117-170
Database :
Directory of Open Access Journals
Journal :
Alexandria Engineering Journal
Publication Type :
Academic Journal
Accession number :
edsdoj.2a109788ce2548c48e4034f25d890ff8
Document Type :
article
Full Text :
https://doi.org/10.1016/j.aej.2024.02.033