Big Data acquired by Internet of Things-enabled Industrial Multichannel Wireless Sensors Networks for Active Monitoring and Control in the Smart Grid Industry 4.0.

DOI: 10.17632/32d6r6r6zk.4

Bibliographic Details
Main Authors: Butt, Rizwan Aslam, Fizza, Ghulam, Ngadi, Md Asri, Muhammad Faheem, Waqar, Muhammad Waqar, Gungor, Vehbi Cagri
Format: Dataset
Language:English
Published: Mendeley Data 2023
Subjects:
Online Access:http://openscience.utm.my/handle/123456789/313
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author Butt, Rizwan Aslam
Fizza, Ghulam
Ngadi, Md Asri
Muhammad Faheem
Waqar, Muhammad Waqar
Gungor, Vehbi Cagri
author_facet Butt, Rizwan Aslam
Fizza, Ghulam
Ngadi, Md Asri
Muhammad Faheem
Waqar, Muhammad Waqar
Gungor, Vehbi Cagri
author_sort Butt, Rizwan Aslam
collection OpenScience
description DOI: 10.17632/32d6r6r6zk.4
first_indexed 2024-03-04T10:32:47Z
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id oai:openscience.utm.my:123456789/313
institution Universiti Teknologi Malaysia - OpenScience
language English
last_indexed 2024-03-04T10:32:47Z
publishDate 2023
publisher Mendeley Data
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spelling oai:openscience.utm.my:123456789/3132023-04-26T12:00:14Z Big Data acquired by Internet of Things-enabled Industrial Multichannel Wireless Sensors Networks for Active Monitoring and Control in the Smart Grid Industry 4.0. Butt, Rizwan Aslam Fizza, Ghulam Ngadi, Md Asri Muhammad Faheem Waqar, Muhammad Waqar Gungor, Vehbi Cagri Aerospace industries Real-time control DOI: 10.17632/32d6r6r6zk.4 • The data provided in this paper provides can be used for efficient monitoring and control of the power generation and distribution processes in the smart grid. • The data provided in this paper can be used for the integration of distributed power generation sources into the power transmission and distribution systems within realistic network scenarios. • It can also support reliable and dynamic data capacity requirements of different types of advanced cyber-physical systems equipped with sensors and devices to operate them optimally, either manual or automatic controls, and provide information about their operations to the utilities. • In case of faults, the designed scheme intelligently monitoring and identifies the faulty systems located in a remote position and notifies the user in real-time, so that appropriate actions can be taken to supply steady electricity to the customers. 1. Universiti Teknologi Malaysia 2. Abdullah Gul Universitesi 2023-04-26T03:07:23Z 2023-04-26T03:07:23Z 2021-03-09 Dataset http://openscience.utm.my/handle/123456789/313 en image/png image/png image/png image/png image/png image/png Mendeley Data
spellingShingle Aerospace industries
Real-time control
Butt, Rizwan Aslam
Fizza, Ghulam
Ngadi, Md Asri
Muhammad Faheem
Waqar, Muhammad Waqar
Gungor, Vehbi Cagri
Big Data acquired by Internet of Things-enabled Industrial Multichannel Wireless Sensors Networks for Active Monitoring and Control in the Smart Grid Industry 4.0.
title Big Data acquired by Internet of Things-enabled Industrial Multichannel Wireless Sensors Networks for Active Monitoring and Control in the Smart Grid Industry 4.0.
title_full Big Data acquired by Internet of Things-enabled Industrial Multichannel Wireless Sensors Networks for Active Monitoring and Control in the Smart Grid Industry 4.0.
title_fullStr Big Data acquired by Internet of Things-enabled Industrial Multichannel Wireless Sensors Networks for Active Monitoring and Control in the Smart Grid Industry 4.0.
title_full_unstemmed Big Data acquired by Internet of Things-enabled Industrial Multichannel Wireless Sensors Networks for Active Monitoring and Control in the Smart Grid Industry 4.0.
title_short Big Data acquired by Internet of Things-enabled Industrial Multichannel Wireless Sensors Networks for Active Monitoring and Control in the Smart Grid Industry 4.0.
title_sort big data acquired by internet of things enabled industrial multichannel wireless sensors networks for active monitoring and control in the smart grid industry 4 0
topic Aerospace industries
Real-time control
url http://openscience.utm.my/handle/123456789/313
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