IoT based Industrial Power Generation and Distribution Monitoring Dataset
Catalog Summary
"Industrial IoT dataset for efficient monitoring and control of power generation and distribution processes in smart grid applications with real-time fault detection capabilities."
Catalog Notes
Comprehensive industrial IoT dataset designed for efficient monitoring and control of power generation and distribution processes in smart grid environments. Dataset enables integration of distributed power generation sources into transmission and distribution systems under realistic network scenarios.
Supports reliable and dynamic data capacity requirements for advanced cyber-physical systems equipped with sensors and devices for optimal operation through manual or automatic controls. Provides real-time operational information to utilities for enhanced grid management.
Features intelligent monitoring scheme that identifies faulty systems in remote locations and notifies users in real-time, enabling appropriate actions to maintain steady electricity supply to customers. Developed by researchers from Universiti Teknologi Malaysia and Abdullah Gul University.
View Data Structure
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Preview on KaggleCite This Dataset
Faheem, M., Fizza, G., Waqar, M. W., Aslam Butt, R., Ngadi, M. A., & Gungor, V. C. (2021). Dataset acquired by Internet of Things-enabled Industrial Multichannel Wireless Sensors Networks for Active Monitoring and Control in the Smart Grid Industry 4.0.. [Dataset]. Mendeley Data. https://doi.org/10.17632/32d6r6r6zk.1
Source metadata: Mendeley Data (2021) · DOI: 10.17632/32d6r6r6zk.1
Indexed by IoTDataset.com on Feb 08, 2026
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