Analysing Concentrating Photovoltaics Technology Through the Use of Emerging Pattern Mining

• García-Vico, A.M. ^[1] ; J. Montes ^[1] ; J. Aguilera ^[1] ; Carmona, C.J. ^[2] ; Jesus, M.J. del ^[1]
  1. [1] Universidad de Jaén

     Universidad de Jaén

     Jaén, España

     
  2. [2] Universidad de Burgos

     Universidad de Burgos

     Burgos, España

     
• Localización: International Joint Conference SOCO’16-CISIS’16-ICEUTE’16: San Sebastián, Spain, October 19th-21st, 2016 Proceedings / coord. por Manuel Graña Romay, José Manuel López Guede, Oier Etxaniz, Álvaro Herrero Cosío, Héctor Quintián Pardo, Emilio Santiago Corchado Rodríguez, 2017, ISBN 978-3-319-47364-2, págs. 334-344
• Idioma: inglés
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• Resumen

  • The search of emerging patterns pursues the description of a problem through the obtaining of trends in the time, or characterisation of differences between classes or group of variables. This contribution presents an application to a real-world problem related to the photovoltaic technology through the algorithm EvAEP. Specifically, the algorithm is an evolutionary fuzzy system for emerging pattern mining applied to a problem of concentrating photovoltaic technology which is focused on the generation of electricity reducing the associated costs. Emerging pattern shave discovered relevant information for the experts when the maximum power is reached for the cells of concentrating photovoltaic.