Title :
Application and research of multidimensional data analysis in power quality
Author :
Hongke, Han ; Linhai, Qi
Author_Institution :
Dept. of Control & Comput. Eng., North China Electr. Power Univ., Beijing, China
Abstract :
To extract potentially useful information from a large number of power quality monitoring data, this article carries out the analysis of power quality data by the use of multi-dimensional data analysis from multiple perspectives. Considering the data mining in data pretreatment, disturbance recognition related applications, then analyzes and builds a power quality cube. Through the cube analysis, the manager can have a comprehensive and detailed understanding of the trends of power quality data in order to operate in the power to make scientific decision-making.
Keywords :
data analysis; data mining; decision making; power supply quality; cube analysis; data mining; data pretreatment; decision-making; disturbance recognition; multi-dimensional data analysis; power quality cube; power quality data; power quality monitoring data; Data analysis; Data mining; Energy management; Frequency; Monitoring; Multidimensional systems; Power engineering computing; Power quality; Quality management; Voltage; MS Analysis Services; Multidimensional Data Analysi; Power Quality;
Conference_Titel :
Computer Design and Applications (ICCDA), 2010 International Conference on
Conference_Location :
Qinhuangdao
Print_ISBN :
978-1-4244-7164-5
Electronic_ISBN :
978-1-4244-7164-5
DOI :
10.1109/ICCDA.2010.5540836
