PUMA

academical publication management
collect, organize, and share publications

( en | de )

 

Disambiguation of "Monedero, Iñigo"

Author of the publication

copydeleteadd this publication to your clipboard
MIDAS: Detection of Non-technical Losses in Electrical Consumption Using Neural Networks and Statistical Techniques.

, , , , and . 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.

No persons found for author name Monedero, Iñigo
add a person with the name Monedero, Iñigo
 

Other publications of authors with the same name

The Evolution of OSI Network Management by Integrated the Expert Knowledge., , and . IDEAL, volume 4224 of Lecture Notes in Computer Science, page 402-409. Springer, (2006)VICARED: A Neural Network Based System for the Detection of Electrical Disturbances in Real Time., , , , and . ICNC (2), volume 3611 of Lecture Notes in Computer Science, page 147-154. Springer, (2005)A Decision Support System for consumption optimization in a naphtha reforming plant., , , , , and . Computers & Chemical Engineering, (2012)Artificial neural networks and physical modeling for determination of baseline consumption of CHP plants., , , and . Expert Syst. Appl., 41 (10): 4658-4669 (2014)An Expert System to Improve the Energy Efficiency of the Reaction Zone of a Petrochemical Plant., , , and . SOFA, volume 195 of Advances in Intelligent Systems and Computing, page 511-520. Springer, (2012)Electricity clustering framework for automatic classification of customer loads., , , , and . Expert Syst. Appl., (2017)An Approach to Detection of Tampering in Water Meters., , , , and . KES, volume 60 of Procedia Computer Science, page 413-421. Elsevier, (2015)A novel ECG diagnostic system for the detection of 13 different diseases.. Eng. Appl. Artif. Intell., (2022)Using Regression Analysis to Identify Patterns of Non-Technical Losses on Power Utilities., , , , , and . 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., , , , and . ICCSA (5), volume 3984 of Lecture Notes in Computer Science, page 725-734. Springer, (2006)