A MINING FRAMEWORK TO DETECT NON-TECHNICAL LOSSES IN POWER UTILITIES

Félix Biscarri, Iñigo Monedero, Carlos León, Juan I. Guerrero, Jesús Biscarri, Rocío Millán

Abstract

This paper deals with the characterization of customers in power companies in order to detect consumption Non-Technical Losses (NTL). A new framework is presented, to find relevant knowledge about the particular characteristics of the electric power customers. The authors uses two innovative statistical estimators to weigh variability and trend of the customer consumption. The final classification model is presented by a rule set, based on discovering association rules in the data. The work is illustrated by a case study considering a real data base.

References

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Paper Citation


in Harvard Style

Biscarri F., Monedero I., León C., Guerrero J., Biscarri J. and Millán R. (2009). A MINING FRAMEWORK TO DETECT NON-TECHNICAL LOSSES IN POWER UTILITIES . In Proceedings of the 11th International Conference on Enterprise Information Systems - Volume 2: ICEIS, ISBN 978-989-8111-85-2, pages 97-102. DOI: 10.5220/0001953300970102


in Bibtex Style

@conference{iceis09,
author={Félix Biscarri and Iñigo Monedero and Carlos León and Juan I. Guerrero and Jesús Biscarri and Rocío Millán},
title={A MINING FRAMEWORK TO DETECT NON-TECHNICAL LOSSES IN POWER UTILITIES},
booktitle={Proceedings of the 11th International Conference on Enterprise Information Systems - Volume 2: ICEIS,},
year={2009},
pages={97-102},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0001953300970102},
isbn={978-989-8111-85-2},
}


in EndNote Style

TY - CONF
JO - Proceedings of the 11th International Conference on Enterprise Information Systems - Volume 2: ICEIS,
TI - A MINING FRAMEWORK TO DETECT NON-TECHNICAL LOSSES IN POWER UTILITIES
SN - 978-989-8111-85-2
AU - Biscarri F.
AU - Monedero I.
AU - León C.
AU - Guerrero J.
AU - Biscarri J.
AU - Millán R.
PY - 2009
SP - 97
EP - 102
DO - 10.5220/0001953300970102