A data-mining-based methodology to support MV electricity customers ’ characterization

@inproceedings{Ramos2015ADM,
  title={A data-mining-based methodology to support MV electricity customers ’ characterization},
  author={Sergio Ramos and Jo{\~a}o M. M. Duarte and F. Jorge F. Duarte and Zita A. Vale},
  year={2015}
}
This paper presents an electricity medium voltage (MV) customer characterization framework supported by knowledge discovery in database (KDD). The main idea is to identify typical load profiles (TLP) of MV consumers and to develop a rule set for the automatic classification of new consumers. To achieve our goal a methodology is proposed consisting of several steps: data pre-processing; application of several clustering algorithms to segment the daily load profiles; selection of the best… CONTINUE READING