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Predicting 30-Day Emergency Readmission Risk Read chapter Read first chapter

2017 | OriginalPaper | Chapter

Analysing Concentrating Photovoltaics Technology Through the Use of Emerging Pattern Mining

Authors : A. M. García-Vico, J. Montes, J. Aguilera, C. J. Carmona, M. J. del Jesus

Published in: International Joint Conference SOCO’16-CISIS’16-ICEUTE’16

Publisher: Springer International Publishing

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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 patterns have discovered relevant information for the experts when the maximum power is reached for the cells of concentrating photovoltaic.

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Footnotes
Literature
1.
Almonacid, F., Pérez-Higueras, P., Fernández, E., Rodrigo, P.: Relation between the cell temperature of a hcpv module and atmospheric parameters. Sol. Energy Mater. Sol. Cells 105, 322–327 (2012)CrossRef
2.
Antón, I., Martínez, M., Rubio, F., Núñez, R., Herrero, R., Domínguez, C., Victoria, M., Askins, S., Sala, G.: Power rating of CPV systems based on spectrally corrected DNI, vol. 1477, pp. 331–335 (2012)
3.
Carmona, C.J., González, P., del Jesus, M.J., Herrera, F.: NMEEF-SD: non-dominated multi-objective evolutionary algorithm for extracting fuzzy rules in subgroup discovery. IEEE Trans. Fuzzy Syst. 18(5), 958–970 (2010)CrossRef
4.
Carmona, C.J., González, P., del Jesus, M.J., Herrera, F.: Overview on evolutionary subgroup discovery: analysis of the suitability and potential of the search performed by evolutionary algorithms. WIREs Data Min. Knowl. Disc. 4(2), 87–103 (2014)CrossRef
5.
Carmona, C.J., González, P., García-Domingo, B., del Jesus, M.J., Aguilera, J.: MEFES: an evolutionary proposal for the detection of exceptions in subgroup discovery. An application to Concentrating Photovoltaic Technology. Knowl. Based Syst. 54, 73–85 (2013)CrossRef
6.
Carmona, C.J., Pulgar-Rubio, F.J., García-Vico, A.M., González, P., del Jesus, M.J.: Análisis descriptivo mediante aprendizaje supervisado basado en patrones emergentes. In: Proceedings of the VII Simposio Teoría y Aplicaciones de Minería de Datos, pp. 685–694 (2015)
7.
Castro, M., Domínguez, C., Núez, R., Antón, I., Sala, G., A. K.: Detailed effects of wind on the field performance of a 50 kw CPV demonstration plant. In: AIP Conference Proceedings, vol. 1556, pp. 256–260 (2013)
8.
Dong, G.Z., Li, J.Y.: Efficient mining of emerging patterns: discovering trends and differences. In: Proceedings of the 5th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, pp. 43–52. ACM Press (1999)
9.
Dong, G.Z., Li, J.Y.: Mining border descriptions of emerging patterns from dataset pairs. Knowl. Inf. Syst. 8(2), 178–202 (2005)CrossRef
10.
Eiben, A.E., Smith, J.E.: Introduction to Evolutionary Computation. Springer, Heidelberg (2003)CrossRefMATH
11.
Eshelman, L.J., Schaffer, J.D.: Real-coded genetic algorithms and interval-schemata. In: Foundations of Genetic Algorithms 2, pp. 187–202. Kaufmann Publishers (1993)
12.
Helmers, H., Schachtner, M., Bett, A.: Influence of temperature and irradiance on triple-junction solar subcells. Sol. Energy Mater. Sol. Cells 116, 144–152 (2013)CrossRef
13.
Herrera, F.: Genetic fuzzy systems: taxomony, current research trends and prospects. Evol. Intel. 1, 27–46 (2008)CrossRef
14.
Herrera, F., Carmona, C.J., González, P., del Jesus, M.J.: An overview on Subgroup Discovery: Foundations and Applications. Knowl. Inf. Syst. 29(3), 495–525 (2011)CrossRef
15.
Holland, J.H.: Adaptation in Natural and Artificial Systems. University of Michigan Press, Ann Arbor (1975)
16.
Hüllermeier, E.: Fuzzy methods in machine learning and data mining: status and prospects. Fuzzy Sets Syst. 156(3), 387–406 (2005)MathSciNetCrossRef
17.
Kinsey, G., Hebert, P., Barbour, K., Krut, D., Cotal, H., Sherif, R.: Concentrator multijunction solar cell characteristics under variable intensity and temperature. Prog. Photovoltaics Res. Appl. 16(6), 503–508 (2008)CrossRef
18.
Kralj-Novak, P., Lavrac, N., Webb, G.I.: Supervised descriptive rule discovery: a unifying survey of constrast set, emerging pateern and subgroup mining. J. Mach. Learn. Res. 10, 377–403 (2009)MATH
19.
Li, J.Y., Dong, G.Z., Ramamohanarao, K., Wong, L.: DeEPs: a new instance-based lazy discovery and classification system. Mach. Learn. 54(2), 99–124 (2004)CrossRefMATH
20.
Lin, C.-K., Fang, J.-Y.: Analysis of structural deformation and concentrator misalignment in a roll-tilt solar tracker. In: AIP Conference Proceedings, vol. 1556, pp. 210–213 (2013)
21.
Peharz, G., Ferrer Rodríguez, J., Siefer, G., Bett, A.: Investigations on the temperature dependence of CPV modules equipped with triple-junction solar cells. Prog. Photovoltaics Res. Appl. 19(1), 54–60 (2011)CrossRef
22.
Venturini, G.: SIA: a supervised inductive algorithm with genetic search for learning attributes based concepts. In: Brazdil, P.B. (ed.) ECML 1993. LNCS, vol. 667, pp. 280–296. Springer, Heidelberg (1993). doi:10.​1007/​3-540-56602-3_​142CrossRef
23.
Zadeh, L.A.: The concept of a linguistic variable and its applications toapproximate reasoning. Parts I, II, III. Inform. Sci. 8-9, 199–249, 301–357, 43–80 (1975)
Metadata
Title
Analysing Concentrating Photovoltaics Technology Through the Use of Emerging Pattern Mining
Authors
A. M. García-Vico
J. Montes
J. Aguilera
C. J. Carmona
M. J. del Jesus
Copyright Year
2017
Book
International Joint Conference SOCO’16-CISIS’16-ICEUTE’16

Print ISBN: 978-3-319-47363-5

Electronic ISBN: 978-3-319-47364-2

Copyright Year: 2017

DOI
https://doi.org/10.1007/978-3-319-47364-2_32

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