Ponencia
Intelligent Information System as a Tool to Reach Unaproachable Goals for Inspectors - High-Performance Data Analysis for Reduction of Non-Technical Losses on Smart Grids
Autor/es | Guerrero Alonso, Juan Ignacio
Parejo Matos, Antonio Personal Vázquez, Enrique Biscarri Triviño, Félix Biscarri Triviño, Jesús León de Mora, Carlos |
Departamento | Universidad de Sevilla. Departamento de Tecnología Electrónica |
Fecha de publicación | 2016 |
Fecha de depósito | 2021-10-21 |
Publicado en |
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ISBN/ISSN | 978-1-61208-518-0 2308-4065 |
Resumen | The Non-Technical Losses (NTLs) represent the
non-billed energy due to faults or illegal manipulations in
customer facilities. The objective of the Midas project is the
detection of NTL through the application of ... The Non-Technical Losses (NTLs) represent the non-billed energy due to faults or illegal manipulations in customer facilities. The objective of the Midas project is the detection of NTL through the application of computational intelligence over the information stored in utility company databases. This project has several research lines. Some of them are pattern recognition, expert systems, big data and High Performance Computing (HPC). This paper proposes module which use statistical techniques to make patterns of correct consumption. This module is integrated with a rule based expert system with other modules as: text mining module and data warehousing module. The correct consumption patterns are generated using rules which will be used in rule based expert system. Two implementations are proposed. Both implementations provided an Intelligent Information System (IIS) to reach unapproachable goals for inspectors. |
Agencias financiadoras | Ministerio de Economía y Competitividad (MINECO). España |
Identificador del proyecto | TEC2013-40767-R |
Cita | Guerrero Alonso, J.I., Parejo Matos, A., Personal Vázquez, E., Biscarri Triviño, F., Biscarri Triviño, J. y León de Mora, C. (2016). Intelligent Information System as a Tool to Reach Unaproachable Goals for Inspectors - High-Performance Data Analysis for Reduction of Non-Technical Losses on Smart Grids. En INTELLI 2016: fifth International Conference on Intelligent Systems and Applications (83-87), Barcelona, España: IARIA. |
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