 Utilisation of cloud computing and internet of things technology in power distribution automationXiaoguang Liu, Xi Li, Zuohu Chen, Hu Zhou and Zhenfen Zhang International Journal of Global Energy Issues, 2025, vol. 47, issue 6, 558-579 Abstract: This study introduced cloud computing and Internet of Things (IoT) technology into distribution automation for application. Firstly, real-time collection of power distribution system data was achieved through IoT devices; data filtering was carried out using Flume, and efficient data transmission and processing were achieved through Kafka. Subsequently, the AWS IoT (Amazon Web Services Internet of Things) platform was utilised to achieve registration, communication, and remote control of smart devices, enabling real-time monitoring of power grid loads. Then, Spark was applied for offline analysis to train Recurrent Neural Network (RNN) models. At the same time, real-time flow data processing from IoT devices was carried out through Flink, combined with trained models for distribution prediction, ultimately achieving distribution automation. The automation performance of the system was evaluated based on data collection speed, transmission accuracy, device registration efficiency, and distribution prediction accuracy. Keywords: distribution automation; cloud computing; internet of things; data processing; current neural network. (search for similar items in EconPapers) Downloads: (external link) Related works: Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text Persistent link: https://EconPapers.repec.org/RePEc:ids:ijgeni:v:47:y:2025:i:6:p:558-579 Access Statistics for this article More articles in International Journal of Global Energy Issues from Inderscience Enterprises Ltd |
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