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.
dc.contributor.author | Butt, Rizwan Aslam | |
dc.contributor.author | Fizza, Ghulam | |
dc.contributor.author | Ngadi, Md Asri | |
dc.contributor.author | Muhammad Faheem | |
dc.contributor.author | Waqar, Muhammad Waqar | |
dc.contributor.author | Gungor, Vehbi Cagri | |
dc.date.accessioned | 2023-04-26T03:07:23Z | |
dc.date.available | 2023-04-26T03:07:23Z | |
dc.date.issued | 2021-03-09 | |
dc.description | DOI: 10.17632/32d6r6r6zk.4 | |
dc.description.abstract | • 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. | |
dc.description.sponsorship | 1. Universiti Teknologi Malaysia 2. Abdullah Gul Universitesi | |
dc.identifier.uri | http://openscience.utm.my/handle/123456789/313 | |
dc.language.iso | en | |
dc.publisher | Mendeley Data | |
dc.subject | Aerospace industries | |
dc.subject | Real-time control | |
dc.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. | |
dc.type | Dataset |
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