Skip to main content
SpringerLink
Log in

Semantic Knowledge and Service Models for Energy-Aware Systems

  • Conference paper
  • First Online:
Book cover Green, Pervasive, and Cloud Computing (GPC 2017)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 10232))

Included in the following conference series:

  • 1942 Accesses

Abstract

The energy domain is affected by digitalization like any other domain. Interoperability between the energy-aware devices and grid, and even market actors, are opening a vast amount of use-cases and business models for smart energy services and possibilities to make the systems more efficient. Related standards in the energy domain and neighbouring domains are numerous and knowledge modelling needs to take this already grounded work into account. This research shows how energy-related information and concepts, from weather and energy market information to sensor data, are semantically described and how services using the semantic information can manifest themselves in the same semantic way to be used in a network of energy awareness-related services.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Log in via an institution

Institutional subscriptions

Notes

  1. 1.

    https://github.com/thesmartenergy/seas.

References

  1. IEC Smart Grid Standardization Roadmap; Edition 1.0, June 2010. http://www.iec.ch/zone/smartgrid/pdf/sg3_roadmap.pdf

  2. Heiles, J. (ed.) SGEM Deliverable D1.3.1 Smart Grid Standardization Analysis Version 2.0, Nokia Siemens Networks, February 2012 (2012)

    Google Scholar 

  3. Koponen, P., Pykälä, M.-L., Peltonen, J., Ahonen, P.: Interfaces of consumption metering infrastructures with the energy consumers - review of standards. VTT Research Notes 2542 (2010)

    Google Scholar 

  4. EURELECTRIC: DSO Priorities for smart grid standardisation. A EURELECTRIC position paper, January 2013

    Google Scholar 

  5. Eastman, C., Teicholz, P., Sacks, R., Liston, K.: BIM Handbook: A Guide to Building Information Modeling for Owners, Managers, Designers, Engineers, and Contractors, 2nd edn. Wiley, New York (2011). ISBN 978-0-470-54137-1

    Google Scholar 

  6. Berners-Lee, T., Hendler, J., Lassila, O.: The semantic web. Sci. Am. 284(5), 35–43 (2001)

    Article  Google Scholar 

  7. Berners-Lee, T.: Linked data - design issues (2006). Accessed http://www.w3.org/DesignIssues/LinkedData.html

  8. Gaha, M., Zinflou, A., Langheit, C., Bouffard, A., Viau, M., Vouligny, L.: An ontology-based reasoning approach for electric power utilities. In: Web Reasoning and Rule Systems, pp. 95–108 (2013)

    Google Scholar 

  9. Pauwelsa, P., Terkajb, W.: EXPRESS to OWL for construction industry: towards a recommendable and usable ifcOWL ontology. Autom. Constr. 63, 100–133 (2016)

    Article  Google Scholar 

  10. SmartM2M. Smart Appliances, Reference Ontology and oneM2M Mapping, ETSI TS 103 264 v1.1.1

    Google Scholar 

  11. Fensel, A., Tomic, S., Kumar, V., Stefanovic, M., Aleshin, S.V., Novikov, D.O.: SESAME-S: semantic smart home system for energy efficiency. Informatik-Spektrum 36(1), 46–57 (2012)

    Article  Google Scholar 

  12. Fang, X., Misra, S., Xue, G., Yang, D.: Smart grid—the new and improved power grid: a survey. Commun. Surv. Tutorials 14(4), 944–980 (2012)

    Article  Google Scholar 

  13. Wagner, A., Speiser, S., Harth, A.: Semantic web technologies for a smart energy grid: requirements and challenges. In: Patel-Schneider, F.P., Pan, Y., Hitzler, P., Mika, P., Zhang, L., Pan, J.Z., Glimm, B. (eds.) Proceedings of 9th International Semantic Web Conference (ISWC 2010) (2010)

    Google Scholar 

  14. W3C: OWL-S: Semantic Markup for Web Services (2004). https://www.w3.org/Submission/OWL-S/

  15. Gessler, D., Schiltz, G., May, G., Avraham, S., Town, C., Grant, D., Nelson, R.: SSWAP: a simple semantic web architecture and protocol for semantic web services. BMC Bioinform. 10(1), 309 (2009)

    Google Scholar 

  16. Verborgh, R., Steiner, T., Van Deursen, D., Coppens, S., Mannens, E., Van de Walle, R., Vallés, J.: RESTdesc - a functionality-centered approach to semantic service description and composition. In: 9th Extended Semantic Web Conference (ESWC - 2012) (2014)

    Google Scholar 

  17. Dimou, A., Verborgh, R., Vander Sande, M., Mannens, E., Van de Walle, R.: Machine-interpretable dataset and service descriptions for heterogeneous data access and retrieval. In: Proceedings of the 11th International Conference on Semantic Systems, pp. 145–152 (2015)

    Google Scholar 

  18. Governor, J., Hinchcliffe, D., Nickull, D.: Web 2.0 architectures - what entrepreneurs and information architects need to know. O’Reilly Media/Adobe Developer Library (2009)

    Google Scholar 

  19. Dänekas, C., Neureiter, C., Rohjans, S., Uslar, M., Engel, D.: Towards a model-driven-architecture process for smart grid projects. In: Benghozi, P., Krob, D., Lonjon, A., Panetto, H. (eds.) Digital Enterprise Design & Management. AISC, vol. 261, pp. 47–58. Springer, Cham (2014)

    Google Scholar 

  20. Santodomingo, R., Uslar, M., Goring, A., Gottschalk, M., Nordstrom, L., Saleem, A., Chenine, M.: SGAM-based methodology to analyse Smart Grid solutions in DISCERN European research project. In: 2014 IEEE International Energy Conference (ENERGYCON), pp. 751–758 (2014)

    Google Scholar 

Download references

Author information

Authors and Affiliations

  1. VTT Technical Research Centre of Finland Ltd, Oulu, Finland

    Jarmo Kalaoja

Authors
  1. Jarmo Kalaoja
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Jarmo Kalaoja .

Editor information

Editors and Affiliations

  1. Hong Kong Polytechnic University, Hong Kong, Hong Kong

    Man Ho Allen Au

  2. University of Salerno, Fisciano, Italy

    Arcangelo Castiglione

  3. University of Texas at San Antonio, San Antonio, Texas, USA

    Kim-Kwang Raymond Choo

  4. University of Salerno, Fisciano, Italy

    Francesco Palmieri

  5. Providence University, Taichung City, Taiwan

    Kuan-Ching Li

Rights and permissions

Reprints and permissions

Copyright information

© 2017 Springer International Publishing AG

About this paper

Cite this paper

Kalaoja, J. (2017). Semantic Knowledge and Service Models for Energy-Aware Systems. In: Au, M., Castiglione, A., Choo, KK., Palmieri, F., Li, KC. (eds) Green, Pervasive, and Cloud Computing. GPC 2017. Lecture Notes in Computer Science(), vol 10232. Springer, Cham. https://doi.org/10.1007/978-3-319-57186-7_38

Download citation

  • DOI: https://doi.org/10.1007/978-3-319-57186-7_38

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-57185-0

  • Online ISBN: 978-3-319-57186-7

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics

Search

Navigation