International Journal of

ADVANCED AND APPLIED SCIENCES

EISSN: 2313-3724, Print ISSN: 2313-626X

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 Volume 8, Issue 7 (July 2021), Pages: 50-66

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 Review Paper

 Title: Utilization of ICT and AI techniques in harnessing residential energy consumption for an energy-aware smart city: A review

 Author(s): Danish Mahmood 1, *, Shahzad Latif 1, Aamir Anwar 1, 2, Syed Jawad Hussain 1, N. Z. Jhanjhi 3, Najm Us Sama 4, Mamoona Humayun 5

 Affiliation(s):

 1Department of Computer Science, SZABIST Islamabad Campus, Islamabad, Pakistan
 2Department of Computer Science, Barani Institute of IT, Pir Mehr Ali Shah Arid Agriculture University, Rawalpindi, Pakistan
 3School of Computer Science and Engineering, SCE, Taylor’s University, Subang Jaya, Malaysia
 4Department of Computer Science, Jouf University, Sakakah, Saudi Arabia
 5Department of Information systems, College of Computer and Information Sciences, Jouf University, Sakakah, Saudi Arabia

  Full Text - PDF          XML

 * Corresponding Author. 

  Corresponding author's ORCID profile: https://orcid.org/0000-0002-2511-6638

 Digital Object Identifier: 

 https://doi.org/10.21833/ijaas.2021.07.007

 Abstract:

Fusion of Information and Communication Technologies (ICT) in traditional grid infrastructure makes it possible to share certain messages and information within the system that leads to optimized use of energy. Furthermore, using Computational Intelligence (CI) in the said domain opens new horizons to preserve electricity as well as the price of consumed electricity effectively. Hence, Energy Management Systems (EMSs) play a vital role in energy economics, consumption efficiency, resourcefulness, grid stability, reliability, and scalability of power systems. The residential sector has its high impact on global energy consumption. Curtailing and shifting load of the residential sector can result in solving major global problems and challenges. Moreover, the residential sector is more flexible in reshaping power consumption patterns. Using Demand Side Management (DSM), end users can manipulate their power consumption patterns such that electricity bills, as well as Peak to Average Ratio (PAR), are reduced. Therefore, it can be stated that Home Energy Management Systems (HEMSs) is an important part of ground-breaking smart grid technology. This article gives an extensive review of DSM, HEMS methodologies, techniques, and formulation of optimization problems. Concluding the existing work in energy management solutions, challenges and issues, and future research directions are also presented. 

 © 2021 The Authors. Published by IASE.

 This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).

 Keywords: Smart grid, Home area networks, Optimization techniques, Home energy management systems, Smart meters

 Article History: Received 26 December 2020, Received in revised form 15 March 2021, Accepted 27 March 2021

 Acknowledgment 

No Acknowledgment.

 Compliance with ethical standards

 Conflict of interest: The author(s) declared no potential conflicts of interest with respect to the research, authorship, and/or publication of this article.

 Citation:

  Mahmood D, Latif S, and Anwar A et al. (2021). Utilization of ICT and AI techniques in harnessing residential energy consumption for an energy-aware smart city: A review. International Journal of Advanced and Applied Sciences, 8(7): 50-66

 Permanent Link to this page

 Figures

 Fig. 1 Fig. 2 Fig. 3 Fig. 4 Fig. 5 Fig. 6 Fig. 7 Fig. 8 

 Tables

 Table 1 Table 2 Table 3 Table 4  

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