MIDAS: Detection of Non-technical Losses in Electrical Consumption Using Neural Networks and Statistical Techniques. - Íñigo Monedero; Félix Biscarri; Carlos León 001; Jesús Biscarri; Rocío Millán (ICCSA (5), 2006)

A Data Mining Method Based on the Variability of the Customer Consumption - A Special Application on Electric Utility Companies. - Félix Biscarri; Ignacio Monedero; Carlos León 001; Juán I. Guerrero; Jesús Biscarri; Rocío Millán (ICEIS (2), 2008)

Application of Multi-Sensor Optical Data for Monitoring Land Uses within the Mercury Mining Area of Almadén, Spain. - Celia Rico; Thomas Schmid 001; Rocío Millán; María José Sierra; Sandra Carrasco (IGARSS (5), 2008)

A Mining Framework to Detect Non-technical Losses in Power Utilities. - Félix Biscarri; Íñigo Monedero; Carlos León 001; Juán I. Guerrero; Jesús Biscarri; Rocío Millán (ICEIS (2), 2009)

Using Regression Analysis to Identify Patterns of Non-Technical Losses on Power Utilities. - Íñigo Monedero; Félix Biscarri; Carlos León 001; Juán I. Guerrero; Jesús Biscarri; Rocío Millán (KES (1), 2010)

Integrated expert system applied to the analysis of non-technical losses in power utilities. - Carlos León 001; Félix Biscarri; Íñigo Monedero; Juán I. Guerrero; Jesús Biscarri; Rocío Millán (Expert Syst. Appl., 2011)