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Concentrated Solar Power: Ontologies for Solar Radiation Modeling and Forecasting

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Advances onto the Internet of Things

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 260))

Abstract

This chapter considers the possibility of formally representing implicit and explicit knowledge of solar radiation modeling and forecasting by means of ontologies, with particular reference to the implications of concentrated solar power. The various applications discussed in the literature include various methods, such as spectral, parametric and empirical models, artificial neural networks and fuzzy logic approaches, as well as satellite and ground based imaging techniques. We want to use the principles of semantic technologies and formal ontologies, to represent knowledge in solar radiation models. The purpose is to capture the semantics of information and realize a system for sharing and re-use of knowledge in this domain.

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Acknowledgments

This work has been partially supported by the PO FESR 2007/2013 grant G73F12000110004 funding the CESTA project.

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Authors and Affiliations

  1. DICGIM, University of Palermo, Viale delle Scienze ed. 8, 90128, Palermo, Italy

    Antonino Piazza & Giuseppe Faso

Authors
  1. Antonino Piazza
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  2. Giuseppe Faso
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Correspondence to Antonino Piazza .

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Editors and Affiliations

  1. Dipartimento di Ingegneria Chimica, Gestionale, Informatica, Meccanica, Università di Palermo, Palermo, Italy

    Salvatore Gaglio

  2. Dipartimento di Ingegneria Chimica, Gestionale, Informatica, Meccanica, Università di Palermo, Palermo, Italy

    Giuseppe Lo Re

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Piazza, A., Faso, G. (2014). Concentrated Solar Power: Ontologies for Solar Radiation Modeling and Forecasting. In: Gaglio, S., Lo Re, G. (eds) Advances onto the Internet of Things. Advances in Intelligent Systems and Computing, vol 260. Springer, Cham. https://doi.org/10.1007/978-3-319-03992-3_23

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  • DOI: https://doi.org/10.1007/978-3-319-03992-3_23

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-03991-6

  • Online ISBN: 978-3-319-03992-3

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