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Neural Computing and Applications
Erschienen in: Neural Computing and Applications 1/2018

01.12.2016 | Review

Monitoring and diagnosis process of abnormal consumption on smart power grid

verfasst von: Zhengtong Wan, Junxiang Li, Yan Gao

Erschienen in: Neural Computing and Applications | Ausgabe 1/2018

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Abstract

In this paper, an integration analysis of abnormal situation based on statistical process control and fuzzy diagnosis technologies is constructed. The users’ electricity consumption data, which come from smart meters and electricity information collection system, are collected and analyzed. Shewhart control chart is used to monitor the data. If some data are abnormal, fuzzy diagnosis technology will be used to dig the abnormal reason so as to take timely and effective remedial measures. The actual numerical test result shows that the integration can indeed find the reason of the abnormal of electricity.
Vorheriger Artikel Two combined forecasting models based on singular spectrum analysis and intelligent optimized algorithm for short-term wind speed
Nächster Artikel When does an easy task become hard? A systematic review of human task-evoked pupillary dynamics versus cognitive efforts

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Metadaten
Titel
Monitoring and diagnosis process of abnormal consumption on smart power grid
verfasst von
Zhengtong Wan
Junxiang Li
Yan Gao
Publikationsdatum
01.12.2016
Verlag
Springer London
Erschienen in
Neural Computing and Applications / Ausgabe 1/2018
Print ISSN: 0941-0643
Elektronische ISSN: 1433-3058
DOI
https://doi.org/10.1007/s00521-016-2719-4

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