IoET-SG : Integrating internet of energy things with smart grid
Islam, M. Shahidul ; Islam, Md Mehedi ; Ahmed, Sabbir ; Rahman, Md Sazzadur ; Kumar, Krishna LU
and Kaiser, M. Shamim
(2022)
p.49-61
- Abstract
The term smart grid refers to an electrical grid system that incorporates a range of operating and energy initiatives including advanced metering, intelligent distribution boards and circuit breakers, load control switches and smart devices, and renewable energy resources. The incorporation of the internet of things (IoT) into the smart grid, called the internet of energy things-smart grid (IoET-SG), has many benefits, such as a decrease in costs or saving time through smart grid devices. This system can include a wide range of home appliances, gadgets, clothes, intelligent trackers, smart meters, and small-scale vehicles. These devices would record usage data in real-time from all those objects and enable a two-way exchange of... (More)
The term smart grid refers to an electrical grid system that incorporates a range of operating and energy initiatives including advanced metering, intelligent distribution boards and circuit breakers, load control switches and smart devices, and renewable energy resources. The incorporation of the internet of things (IoT) into the smart grid, called the internet of energy things-smart grid (IoET-SG), has many benefits, such as a decrease in costs or saving time through smart grid devices. This system can include a wide range of home appliances, gadgets, clothes, intelligent trackers, smart meters, and small-scale vehicles. These devices would record usage data in real-time from all those objects and enable a two-way exchange of information which allows optimization of their usage. This study focuses mainly on IoET-SG research, advantages, and future challenges, along with effective solutions to these challenges.
(Less)
- author
- Islam, M. Shahidul
; Islam, Md Mehedi
; Ahmed, Sabbir
; Rahman, Md Sazzadur
; Kumar, Krishna
LU
and Kaiser, M. Shamim
- publishing date
- 2022-01-01
- type
- Chapter in Book/Report/Conference proceeding
- publication status
- published
- subject
- keywords
- Big data, Energy utilization, Internet of things, Machine learning, Smart grid
- host publication
- Sustainable Developments by Artificial Intelligence and Machine Learning for Renewable Energies
- pages
- 13 pages
- publisher
- Elsevier
- external identifiers
-
- scopus:85137449189
- ISBN
- 9780323912280
- 9780323914284
- DOI
- 10.1016/B978-0-323-91228-0.00013-6
- language
- English
- LU publication?
- no
- additional info
- Publisher Copyright: © 2022 Elsevier Inc. All rights reserved.
- id
- 649d253c-6882-43a1-9c33-c612edea1a05
- date added to LUP
- 2024-04-15 13:49:18
- date last changed
- 2024-05-16 14:46:50
@inbook{649d253c-6882-43a1-9c33-c612edea1a05,
abstract = {{<p>The term smart grid refers to an electrical grid system that incorporates a range of operating and energy initiatives including advanced metering, intelligent distribution boards and circuit breakers, load control switches and smart devices, and renewable energy resources. The incorporation of the internet of things (IoT) into the smart grid, called the internet of energy things-smart grid (IoET-SG), has many benefits, such as a decrease in costs or saving time through smart grid devices. This system can include a wide range of home appliances, gadgets, clothes, intelligent trackers, smart meters, and small-scale vehicles. These devices would record usage data in real-time from all those objects and enable a two-way exchange of information which allows optimization of their usage. This study focuses mainly on IoET-SG research, advantages, and future challenges, along with effective solutions to these challenges.</p>}},
author = {{Islam, M. Shahidul and Islam, Md Mehedi and Ahmed, Sabbir and Rahman, Md Sazzadur and Kumar, Krishna and Kaiser, M. Shamim}},
booktitle = {{Sustainable Developments by Artificial Intelligence and Machine Learning for Renewable Energies}},
isbn = {{9780323912280}},
keywords = {{Big data; Energy utilization; Internet of things; Machine learning; Smart grid}},
language = {{eng}},
month = {{01}},
pages = {{49--61}},
publisher = {{Elsevier}},
title = {{IoET-SG : Integrating internet of energy things with smart grid}},
url = {{http://dx.doi.org/10.1016/B978-0-323-91228-0.00013-6}},
doi = {{10.1016/B978-0-323-91228-0.00013-6}},
year = {{2022}},
}