Data mining techniques application in power distribution utilities
作者： Sergio Ramos , Zita Vale
关键词: Energy consumption 、 Set (abstract data type) 、 Engineering 、 Hierarchical clustering 、 Data mining 、 Cluster analysis 、 Knowledge extraction 、 Load profile 、 Electric energy consumption 、 Statistical classification
摘要: This paper presents an electricity medium voltage (MV) consumer characterization framework supported on the data base knowledge discovery process (KDD). Data Mining (DM) techniques are used to discover a set of MV typical load profile and, therefore, extract concerning electric energy consumption patterns. In order form different customers' classes hierarchical clustering algorithm is used. The includes several steps, starting from pre-processing data, application DM algorithms, classification model, and finally, interpretation discovered knowledge. To validate proposed framework, case study which real databases consumers
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