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