DocumentCode :
164697
Title :
Quality of supply data mining
Author :
Stander, T. ; Rens, Johan
Author_Institution :
Sch. for Electr. & Electron. Eng., North-West Univ., Potchefstroom, South Africa
fYear :
2014
fDate :
25-28 May 2014
Firstpage :
44
Lastpage :
48
Abstract :
Extracting useful network management information from a large volume of QoS data obtained all over a network can be simplified by innovative data mining techniques. The need for QoS expertise is reduced as interactive visualization by brushing and linking of datasets reveals interrelation of parameters. Data contextualization by annotated data can aid the assessment on the global level of compatibility between supply and use conditions. Data dashboards can further simplify the analysis of QoS data by recognizing the network connectivity of different sites, seasonal effects and direction of voltage waveform events.
Keywords :
data mining; data visualisation; power engineering computing; power supply quality; annotated data; data contextualization; data dashboards; interactive visualization; network management information; quality of supply; supply data mining quality; voltage waveform event; Data mining; Data visualization; Joining processes; Quality of service; Standards; Visualization; Voltage fluctuations; PQ; QoS; QoS reporting; SQL; compliance to compatibility; contextualization; data dashboards; data mining; interactive data visualization; network risk management;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Harmonics and Quality of Power (ICHQP), 2014 IEEE 16th International Conference on
Conference_Location :
Bucharest
Type :
conf
DOI :
10.1109/ICHQP.2014.6842887
Filename :
6842887
Link To Document :
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