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Scientific Article details

Title Utilization of ICT and AI techniques in harnessing residential energy consumption for an energy-aware smart city: A review
ID_Doc 42548
Authors Mahmood, D; Latif, S; Anwar, A; Hussain, SJ; Jhanjhi, NZ; Sama, NU; Humayun, M
Title Utilization of ICT and AI techniques in harnessing residential energy consumption for an energy-aware smart city: A review
Year 2021
Published International Journal Of Advanced And Applied Sciences, 8, 7
DOI 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. (C) 2021 The Authors. Published by IASE.
Author Keywords Smart grid; Home area networks; Optimization techniques; Home energy management systems; Smart meters
Index Keywords Index Keywords
Document Type Other
Open Access Open Access
Source Emerging Sources Citation Index (ESCI)
EID WOS:000811458700007
WoS Category Multidisciplinary Sciences
Research Area Science & Technology - Other Topics
PDF http://science-gate.com/IJAAS/Articles/2021/2021-8-7/1021833ijaas202107007.pdf
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