Internet-of-things-assisted smart grid applications in industry 4.0

Jinglei Su; Xue Chu; Ming Chen; Seifedine Kadry

doi:10.1088/1755-1315/621/1/012056

Internet-of-things-assisted smart grid applications in industry 4.0

Jinglei Su
, Xue Chu
, Ming Chen
, Seifedine Kadry

Jiangsu Normal University
Qilu Normal University
Qingdao University of Science and Technology
Beirut Arab University

Research output: Contribution to journal › Conference article › peer-review

7 Scopus citations

Abstract

This paper studies some recent advances in the field of Smart Grid, including the application of some intelligent algorithms to optimize energy efficiency and energy collection, in order to have some impact on the green theme of Smart Grid under the intelligent system of the Internet of Things. For optimization in SG, evolutionary or heuristic algorithms play an important role. Cat Swarm Optimization (CSO), Emperor Penguin Optimization (EPO), Butterfly Mating Optimazation (BMO), Honey Bee Mating Optimization (HBMO) and many other algorithms have been applied to SG optimization, and more and more flexible, skilled and robust algorithms will be added to contribute to SG optimization in the future.

Original language	English
Article number	012056
Journal	IOP Conference Series: Earth and Environmental Science
Volume	621
Issue number	1
DOIs	https://doi.org/10.1088/1755-1315/621/1/012056
State	Published - 22 Jan 2021
Externally published	Yes
Event	2020 5th International Conference on Renewable Energy and Environmental Protection, ICREEP 2020 - Shenzhen, Virtual, China Duration: 23 Oct 2020 → 25 Oct 2020

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 7 Affordable and Clean Energy
SDG 9 Industry, Innovation, and Infrastructure

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10.1088/1755-1315/621/1/012056

Cite this

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title = "Internet-of-things-assisted smart grid applications in industry 4.0",

abstract = "This paper studies some recent advances in the field of Smart Grid, including the application of some intelligent algorithms to optimize energy efficiency and energy collection, in order to have some impact on the green theme of Smart Grid under the intelligent system of the Internet of Things. For optimization in SG, evolutionary or heuristic algorithms play an important role. Cat Swarm Optimization (CSO), Emperor Penguin Optimization (EPO), Butterfly Mating Optimazation (BMO), Honey Bee Mating Optimization (HBMO) and many other algorithms have been applied to SG optimization, and more and more flexible, skilled and robust algorithms will be added to contribute to SG optimization in the future.",

author = "Jinglei Su and Xue Chu and Ming Chen and Seifedine Kadry",

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T1 - Internet-of-things-assisted smart grid applications in industry 4.0

AU - Su, Jinglei

AU - Chu, Xue

AU - Chen, Ming

AU - Kadry, Seifedine

N1 - Publisher Copyright: © Content from this work may be used under the terms of the Creative Commons Attribution 3.0 Licence.

PY - 2021/1/22

Y1 - 2021/1/22

N2 - This paper studies some recent advances in the field of Smart Grid, including the application of some intelligent algorithms to optimize energy efficiency and energy collection, in order to have some impact on the green theme of Smart Grid under the intelligent system of the Internet of Things. For optimization in SG, evolutionary or heuristic algorithms play an important role. Cat Swarm Optimization (CSO), Emperor Penguin Optimization (EPO), Butterfly Mating Optimazation (BMO), Honey Bee Mating Optimization (HBMO) and many other algorithms have been applied to SG optimization, and more and more flexible, skilled and robust algorithms will be added to contribute to SG optimization in the future.

AB - This paper studies some recent advances in the field of Smart Grid, including the application of some intelligent algorithms to optimize energy efficiency and energy collection, in order to have some impact on the green theme of Smart Grid under the intelligent system of the Internet of Things. For optimization in SG, evolutionary or heuristic algorithms play an important role. Cat Swarm Optimization (CSO), Emperor Penguin Optimization (EPO), Butterfly Mating Optimazation (BMO), Honey Bee Mating Optimization (HBMO) and many other algorithms have been applied to SG optimization, and more and more flexible, skilled and robust algorithms will be added to contribute to SG optimization in the future.

UR - https://www.scopus.com/pages/publications/85100769728

U2 - 10.1088/1755-1315/621/1/012056

DO - 10.1088/1755-1315/621/1/012056

M3 - Conference article

AN - SCOPUS:85100769728

SN - 1755-1307

VL - 621

JO - IOP Conference Series: Earth and Environmental Science

JF - IOP Conference Series: Earth and Environmental Science

IS - 1

M1 - 012056

T2 - 2020 5th International Conference on Renewable Energy and Environmental Protection, ICREEP 2020

Y2 - 23 October 2020 through 25 October 2020

ER -

Internet-of-things-assisted smart grid applications in industry 4.0

Abstract

UN SDGs

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