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)

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)

Improving Knowledge-Based Systems with statistical techniques, text mining, and neural networks for non-technical loss detection. - Juán I. Guerrero; Carlos León 001; Íñigo Monedero; Félix Biscarri; Jesús Biscarri (Knowl. Based Syst., 2014)

Detection of Non-technical Losses in Smart Distribution Networks: A Review. - Anna Fragkioudaki; Pedro Cruz-Romero; Antonio Gómez Expósito; Jesús Biscarri; Manuel Jesús de Tellechea; Ángel Arcos-Vargas (PAAMS (Special Sessions), 2016)