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View all- Balouji ESalor O(2014)Eigen-analysis based power quality event data clustering and classificationIEEE PES Innovative Smart Grid Technologies, Europe10.1109/ISGTEurope.2014.7028756(1-5)Online publication date: Oct-2014
Power quality issues are becoming more critical for high-tech enterprises and grid companies. Many power quality monitoring systems are deployed in recent years. Advanced analysis of monitoring data is not widely applied due to the lackness of data ...
Traditional power grid is not resistant to severe weather conditions, especially in remote areas. For some areas with few people, such as islands, it is difficult and expensive to maintain their connectivity to the traditional power grid. Therefore, a ...
In allusion to the widespread anomalous data in substation primary equipment condition monitoring, this paper proposes an OPTICS (Ordering Points To Identify the Clustering Structure) clustering-based condition monitoring anomalous data filtering ...
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