Author of the publication

copy delete add this publication to your clipboard
community post
history of this post
URL
DOI
BibTeX
EndNote
APA
Chicago
DIN 1505
Harvard
MSOffice XML

MIDAS: Detection of Non-technical Losses in Electrical Consumption Using Neural Networks and Statistical Techniques.

I. Monedero, F. Biscarri, C. León, J. Biscarri, and R. Millán. ICCSA (5), volume 3984 of Lecture Notes in Computer Science, page 725-734. Springer, (2006)

Please choose a person to relate this publication to

To differ between persons with the same name, the academic degree and the title of an important publication will be displayed. You can also use the button next to the name to display some publications already assigned to the person.

Félix Garmirian University of Stuttgart

Fuchs Felix University of Stuttgart

Felix Baumgärtner University of Stuttgart

Felix Moumtsilis University of Stuttgart

Felix Schuderer University of Stuttgart

Other publications of authors with the same name

Improving Knowledge-Based Systems with statistical techniques, text mining, and neural networks for non-technical loss detection.J. Guerrero, C. León, I. Monedero, F. Biscarri, and J. Biscarri. Knowl.-Based Syst., (2014)Intelligent Integrated Management for Telecommunication Networks.A. Martín, C. León, and F. Biscarri. Int. J. Adv. Comp. Techn., 2 (2): 158-171 (2010)Using Regression Analysis to Identify Patterns of Non-Technical Losses on Power Utilities.I. Monedero, F. Biscarri, C. León, J. Guerrero, J. Biscarri, and R. Millán. KES (1), volume 6276 of Lecture Notes in Computer Science, page 410-419. Springer, (2010)MIDAS: Detection of Non-technical Losses in Electrical Consumption Using Neural Networks and Statistical Techniques.I. Monedero, F. Biscarri, C. León, J. Biscarri, and R. Millán. ICCSA (5), volume 3984 of Lecture Notes in Computer Science, page 725-734. Springer, (2006)An Approach to Detection of Tampering in Water Meters.I. Monedero, F. Biscarri, J. Guerrero, M. Roldán, and C. León. KES, volume 60 of Procedia Computer Science, page 413-421. Elsevier, (2015)A Data Mining Method Based on the Variability of the Customer Consumption - A Special Application on Electric Utility Companies.F. Biscarri, I. Monedero, C. León, J. Guerrero, J. Biscarri, and R. Millán. ICEIS (2), page 370-374. (2008)An Expert System to Improve the Energy Efficiency of the Reaction Zone of a Petrochemical Plant.I. Monedero, F. Biscarri, C. León, and J. Guerrero. SOFA, volume 195 of Advances in Intelligent Systems and Computing, page 511-520. Springer, (2012)A Decision Support System for consumption optimization in a naphtha reforming plant.F. Biscarri, I. Monedero, C. León, J. Guerrero, R. González, and L. Pérez-Lombard. Computers & Chemical Engineering, (2012)Artificial neural networks and physical modeling for determination of baseline consumption of CHP plants.F. Rossi, D. Velázquez, I. Monedero, and F. Biscarri. Expert Syst. Appl., 41 (10): 4658-4669 (2014)Electricity clustering framework for automatic classification of customer loads.F. Biscarri, I. Monedero, A. García, J. Guerrero, and C. León. Expert Syst. Appl., (2017)