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
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1
Universidad de Jaén
info
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2
Universidad de Burgos
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- Manuel Graña (coord.)
- José Manuel López-Guede (coord.)
- Oier Etxaniz (coord.)
- Álvaro Herrero (coord.)
- Héctor Quintián (coord.)
- Emilio Corchado (coord.)
Publisher: Springer Suiza
ISBN: 978-3-319-47364-2, 3-319-47364-6, 978-3-319-47363-5, 3-319-47363-8
Year of publication: 2017
Pages: 334-344
Congress: International Conference on Computational Intelligence in Security for Information Systems (9. 2016. San Sebastián)
Type: Conference paper
Abstract
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.
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