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
Main Authors: | , , , , , |
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Format: | Dataset |
Language: | English |
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Mendeley Data
2023
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Online Access: | http://openscience.utm.my/handle/123456789/313 |
_version_ | 1796848787703988224 |
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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 |
format | Dataset |
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 |
record_format | dspace |
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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