Ver Investigador - - Prisma - Unidad de Bibliometría

Jesus Biscarri Triviño

Profesor Asociado
jbiscarri@us.es

Investiga en

Tipo Año Título Fuente
Artículo2018 Non-technical losses reduction by improving the inspections accuracy in a power utility IEEE TRANSACTIONS ON POWER SYSTEMS
Capítulo2017 High performance data analysis for non-technical losses reduction Smart Grids: Emerging Technologies, Challenges and Future Directions
Ponencia2016 Detection of non-technical losses in smart distribution networks: a review TRENDS IN PRACTICAL APPLICATIONS OF SCALABLE MULTI-AGENT SYSTEMS, THE PAAMS COLLECTION
Artículo2014 Improving knowledge-based systems with statistical techniques, text mining, and neural networks for non-technical loss detection KNOWLEDGE-BASED SYSTEMS
Capítulo2013 Detection of non-technical losses: the project MIDAS Advances in Secure Computing, Internet Services, and Applications
Artículo2012 Detection of frauds and other non-technical losses in a power utility using Pearson coefficient, Bayesian networks and decision trees INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS
Ponencia2011 A real application on non-technical losses detection: the MIDAS Project World Congress in Computer Science, Computer Engineering and Applied Computing, The 7th International Conference on Data Mining Proceedings: Las Vegas (USA),18-22 julio 2011, 77-83
Artículo2011 Integrated expert system applied to the analysis of non-technical losses in power utilities EXPERT SYSTEMS WITH APPLICATIONS
Artículo2011 Variability and trend-based generalized rule induction model to NTL detection in power companies IEEE TRANSACTIONS ON POWER SYSTEMS
Capítulo2010 EIS for consumers classification and support decision making in a power utility database Enterprise Information Systems and Implementing IT Infrastructures: Challenges and Issues
Ponencia2010 Increasing the efficiency in non-technical losses detection in utility companies MELECON 2010: THE 15TH IEEE MEDITERRANEAN ELECTROTECHNICAL CONFERENCE
Ponencia2010 Using regression analysis to identify patterns of non-technical losses on power utilities KNOWLEDGE-BASED AND INTELLIGENT INFORMATION AND ENGINEERING SYSTEMS, PT I
Ponencia2009 A mining framework to detect non-technical losses in power utilities ICEIS 2009 : PROCEEDINGS OF THE 11TH INTERNATIONAL CONFERENCE ON ENTERPRISE INFORMATION SYSTEMS, VOL AIDSS
Ponencia2009 New methods to detect non-technical losses on power utilities Proceedings of the IASTED International Conference on Artificial Intelligence and Soft Computing, ASC 2009
Ponencia2008 A data mining method based on the variability of the customer consumption. A special application on electric utility companies ICEIS 2008 - Proceedings of the 10th International Conference on Enterprise Information Systems
Artículo2006 MIDAS: detection of non-technical losses in electrical consumption using neural networks and statistical techniques COMPUTATIONAL SCIENCE AND ITS APPLICATIONS - ICCSA 2006, PT 5
Artículo2003 Adaptive line enhancement of complex sinusoids in noise with multirate techniques SIGNAL PROCESSING, PATTERN RECOGNITION, AND APPLICATIONS
Artículo1981 Low-cost multiprocessor system ELECTRONICS LETTERS

Este investigador no ha dirigido/tutorizado tesis

Proyectos de Investigación

Fecha de inicio Fecha de fin Rol Denominación Agencia financiadora
01/01/2014 31/12/2017 Investigador/a Sistema Inteligente Inalámbrico para Análisis y Monitorización de Líneas de Tensión Subterráneas en Smart Grids (TEC2013-40767-R) Ministerio de Economía y Competitividad (Nacional)
01/01/2019 31/12/2022 Investigador/a Bigdata Analitycs e Instrumentación Cyberfísica para Soporte de Operaciones de Distribución en la Smartgrid (RTI2018-094917-B-I00) Ministerio de Ciencia, Innovación y Universidades (Nacional)
El investigador no tiene ningún resultado de investigación asociado