Skip to main content
SpringerLink
Log in

Design and Development of an Intelligent Ontology-Based Solution for Energy Management in the Home

  • Chapter
  • First Online:
Machine Learning Paradigms: Theory and Application

Part of the book series: Studies in Computational Intelligence ((SCI,volume 801))

Abstract

The rapid development of the people life mode and the electrical devices use, including the search for the man to live in luxury and comfort, led to an uncontrollable consumption of electricity which leads to the allocation of funds to pay the bills for electricity consumed. This current problem requires severe treatment. To this end, we propose this solution to ensure energy saving without neglecting the well-being of individuals. The habitat is a complex, open and distributed systems, it includes a diversity of electrical equipment, which is characterized by a volume important information, which requires a good tool for the representation and treatment of knowledge. Thanks to this work, we try to offer a solution to all the problems mentioned above. This solution is based primarily on the Ontology and the Semantic Web to represent in a formal manner and explicit information that characterize the residential system and its environment. Finally, we chose OWL (Web Ontology Language) as a tool of knowledge representation, the rules SWRL (Semantic Web Rules Language) who have involved in the intelligent aspect of the solution and the “Protégé” software for the edition and the update of the data of the habitat and its environment. To evaluate the results of our solution, we applied our solution to the city of Adrar in Algeria.

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

Access this chapter

Log in via an institution
Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 139.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Hardcover Book
USD 179.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

References

  1. Mekhalfi, M.L., Melgani, F., Zeggada, A., et al.: Recovering the sight to blind people in indoor environments with smart technologies. Expert Syst. Appl. 46, 129–138 (2016). https://doi.org/10.1016/j.eswa.2015.09.054

    Article  Google Scholar 

  2. Coccia, M.: Driving forces of technological change: the relation between population growth and technological innovation analysis of the optimal interaction across countries. Technol. Forecast. Soc. Change 82, 52–65 (2014). https://doi.org/10.1016/j.techfore.2013.06.001

    Article  Google Scholar 

  3. Byrd-Bredbenner, C., Martin-Biggers, J., Povis, G.A., et al.: Promoting healthy home environments and lifestyles in families with preschool children: HomeStyles, a randomized controlled trial. Contemp. Clin. Trials 64, 139–151 (2018). https://doi.org/10.1016/j.cct.2017.10.012

    Article  Google Scholar 

  4. Yang, T., Clements-Croome, D., Marson, M.: Building energy management systems. In: Encyclopedia of Sustainable Technologies, pp. 291–309 (2017)

    Google Scholar 

  5. Scholl, M.V., Rocha, C.R.: Embedded SCADA for Small Applications. IFAC-PapersOnLine, vol. 49, 246–253 (2016). https://doi.org/10.1016/j.ifacol.2016.10.559

  6. Fabi, V., Spigliantini, G., Corgnati, S.P.: Insights on smart home concept and occupants’ interaction with building controls. In: di Torino, P. (ed.) Energy Procedia. Science Direct, pp. 759–769. Torino, Italy (2017)

    Google Scholar 

  7. Kamsu-Foguem, B., Tiako, P.F., Fotso, L.P., Foguem, C.: Modeling for effective collaboration in telemedicine. Telemat. Inform. 32, 776–786 (2015). https://doi.org/10.1016/j.tele.2015.03.009

    Article  Google Scholar 

  8. Toschi, G.M., Campos, L.B., Cugnasca, C.E.: Home automation networks: a survey. Comput. Stand. Interf. 50, 42–54 (2017). https://doi.org/10.1016/j.csi.2016.08.008

    Article  Google Scholar 

  9. Nehrenheim, E., Goldstein, M.I., Nehrenheim, E.: Introduction to renewable energy. In: Encyclopedia Anthropology Elsevier, pp. 405–406 (2018)

    Google Scholar 

  10. Sonelgaz: Présentation du groupe. 1 (2017)

    Google Scholar 

  11. Devaux, M., Lamanna, M.: The rise and early history of the term ontology (1606-1730). Quaestio 9, 173–208 (2009). https://doi.org/10.1484/J.QUAESTIO.1.100702

    Article  Google Scholar 

  12. Neches, R., Fikes, R.E., Finin, T., et al.: Enabling technology for knowledge sharing. AI Mag. 12, 36 (1991). https://doi.org/10.1609/aimag.v12i3.902

    Article  Google Scholar 

  13. Gruber, T.R.: A translation approach to portable ontology specifications. Knowl. Acquis. 5, 199–220 (1993). https://doi.org/10.1006/knac.1993.1008

    Article  Google Scholar 

  14. Borst, W.N.: Construction of engineering ontologies for knowledge sharing and reuse. University of Twente (1997)

    Google Scholar 

  15. Studer, R., Benjamins, V.R., Fensel, D.: Knowledge engineering: principles and methods. Data Knowl. Eng. 25, 161–197 (1998). https://doi.org/10.1016/S0169-023X(97)00056-6

    Article  MATH  Google Scholar 

  16. Guarino, N., Giaretta, P.: Ontologies and knowledge bases: towards a terminological clarification. Towar Very Large Knowl. Bases Knowl. Build Knowl. Shar. 1, 25–32 (1995). https://doi.org/10.1006/ijhc.1995.1066

    Article  Google Scholar 

  17. Swartout, B., Patil, R., Kevin Knight, T.R.: Toward distributed use of large-scale ontologies. In: Gaines, B.R., Musen, M. (eds.) Proceedings Tenth Knowledge Acquisition for Knowledge-Based Systems, pp. 138–148. Banff, Alberta, Canada (1996). http://www.aaai.org

  18. Gomez-Perez, A.: Survey on ontology development tools. OGAI J. (Oesterreichische Gesellschaft fuer Artif Intell) 22, 6–16 (2003)

    Google Scholar 

  19. W3C: Standards—W3C. Standards 1–5 (2017)

    Google Scholar 

  20. Hendler, J., Berners-Lee, T.: From the semantic web to social machines: a research challenge for AI on the world wide web. Artif. Intell. 174, 156–161 (2010). https://doi.org/10.1016/j.artint.2009.11.010

    Article  MathSciNet  Google Scholar 

  21. Chavarriaga, E., Jurado, F., Díez, F.: An approach to build XML-based domain specific languages solutions for client-side web applications. Comput Lang. Syst. Struct. 49, 133–151 (2017). https://doi.org/10.1016/j.cl.2017.04.002

    Article  Google Scholar 

  22. Harrington, J.L.: XML Support, 4th. Relational Database Des Implement (2016). https://doi.org/10.1016/b978-0-12-804399-8.00026-0

  23. Horrocks, I., Patel-schneider, P.F., Boley, H., et al.: SWRL : A semantic web rule language combining OWL and RuleML. W3C 1 (2004)

    Google Scholar 

  24. Saba, D., Laallam, F.Z., Hadidi, A.E., Berbaoui, B.: Contribution to the management of energy in the systems multi renewable sources with energy by the application of the multi agents systems “MAS.” In: Energy Procedia. Proceeding International Conference Technology Materials and Renewable Energy, Environmental Sustainability, pp. 616–623. Elsevier, Beirut–Lebanon (2015)

    Google Scholar 

  25. Stanford: Ontolingua Home Page, vol. 1 (2017). http://www.ksl.stanford.edu

  26. Swartout, B., Patil, R., Knight, K., Russ, T.: Ontosaurus: a tool for browsing and editing ontologies. USC/Information Sci Inst 1 (2017)

    Google Scholar 

  27. Standford University: Protégé, pp. 1–10 (2017)

    Google Scholar 

  28. Uschold, M., Gruninger, M.: Ontologies: principles, methods and applications. Knowl. Eng. Rev. 11, 93–136 (1996). 10.1.1.111.5903

    Google Scholar 

  29. Corcho, O., Fernández-López, M., Gómez-Pérez, A.: Methodologies, tools and languages for building ontologies. Where is their meeting point? Data Knowl. Eng. 46, 41–64 (2003). https://doi.org/10.1016/S0169-023X(02)00195-7

    Article  Google Scholar 

  30. Noy, N.F., McGuinness, D.L.: Ontology development 101: a guide to creating your first ontology. Stanford Knowl. Syst. Lab 1 (2001)

    Google Scholar 

  31. Bilgin, G., Dikmen, I., Birgonul, M.T.: Ontology evaluation: an example of delay analysis. Proc. Eng. 85, 61–68 (2014). https://doi.org/10.1016/j.proeng.2014.10.529

    Article  Google Scholar 

  32. Miksa, T., Rauber, A.: Using ontologies for verification and validation of workflow-based experiments. Web Semant. Sci. Serv. Agents World Wide Web 43, 25–45 (2017). https://doi.org/10.1016/j.websem.2017.01.002

    Article  Google Scholar 

  33. Wu, D., Håkansson, A.: A method of identifying ontology domain. Proc. Comput. Sci. 35, 504–513 (2014). https://doi.org/10.1016/j.procs.2014.08.131

    Article  Google Scholar 

  34. Suárez-Figueroa, M.C., Gómez-Pérez, A., Fernández-López, M.: Scheduling ontology development projects. Data Knowl. Eng. 102, 1–21 (2016). https://doi.org/10.1016/j.datak.2015.11.004

    Article  Google Scholar 

  35. Saba, D., Zohra Laallam, F., Belmili, H., et al.: Development of an ontology-based generic optimisation tool for the design of hybrid energy systems development of an ontology-based generic optimisation tool for the design of hybrid energy systems. Int. J. Comput. Appl. Technol. (2017). https://doi.org/10.1504/ijcat.2017.084773

  36. Saba, D., Laallam, F.Z., Hadidi, A.E., Berbaoui, B.: Optimization of a multi-source system with renewable energy based on ontology. In: Energy Procedia. International Conference on Environment and Renewable Energy, Environmental Sustainability, pp. 608–615. Elsevier, Beirut–Lebanon (2015)

    Google Scholar 

  37. Han, J., Jeong, Y.-K., Lee, I.: A rule-based ontology reasoning system for context-aware building energy management. In: 2015 IEEE International Conference Computer and Information Technology; Ubiquitous Computing and Communications; Dependable, Autonomic and Secure Computing; Pervasive Intelligence and Computing, pp. 2134–2142. IEEE (2015)

    Google Scholar 

  38. Chahuara, P., Portet, F., Vacher, M.: Context-aware decision making under uncertainty for voice-based control of smart home. Expert Syst. Appl. 75, 63–79 (2017). https://doi.org/10.1016/j.eswa.2017.01.014

    Article  Google Scholar 

  39. Bonino, D., Corno, F.: DogOnt—ontology modeling for intelligent domotic environments. In: Sheth, A.P., Staab, S., Paolucci, M., Maynard, D., Finin, T., Thirunarayan, K. (eds.) International Semantic Web Conference, ISWC 2008 Semantic Web—ISWC 2008. Pp. 790–803. Springer, Berlin, Heidelberg, Karlsruhe, Germany (2008)

    Google Scholar 

  40. Homes, E.S., Cheong, Y., et al.: An ontology-based reasoning approach towards. In: IEEE. 2011 IEEE Consumer Communications and Networking Conference, pp. 850–854. IEEE (2011)

    Google Scholar 

  41. Gruber, T.R.: Technical report KSL 92-71 Revised April 1993. A translation approach to portable ontology specifications by a translation approach to portable ontology specifications. Knowl. Creat. Diffus. Util. 5, 199–220 (1993). https://doi.org/10.1006/knac.1993.1008

    Article  Google Scholar 

  42. Angsuchotmetee, C., Chbeir, R., Cardinale, Y.: MSSN-Onto: an ontology-based approach for flexible event processing in multimedia sensor networks. Future Gen. Comput. Syst. (2018). https://doi.org/10.1016/j.future.2018.01.044

  43. Andrzej, U., Jeffrey, M.B., Renia, J.: IHMC ontology and policy management: KAoS core ontology. In: Lecture Notes in Computer Science. Trust Management. Second International Conference, iTrust 2004, pp 16–26. Oxford, UK, DBLP, iTrust 2004, Oxford (2004)

    Google Scholar 

  44. Abanda, F.H., Tah, J.H.M., Duce, D.: PV-TONS: a photovoltaic technology ontology system for the design of PV-systems. Eng. Appl. Artif. Intell. 26, 1399–1412 (2013). https://doi.org/10.1016/j.engappai.2012.10.010

    Article  Google Scholar 

  45. Bermudez-Edo, M., Elsaleh, T., Barnaghi, P., Taylor, K.: IoT-Lite: a lightweight semantic model for the internet of things. In: 2016 IEEE Conference Ubiquitous Intelligent Computing, July 2016, pp. 1–8. University surrey (2016)

    Google Scholar 

  46. URERMS-EPST-CDER: Division de Conversion Photovoltaïque (DCPV)—URER.MS. URERMS-EPST-CDER 1 (2018)

    Google Scholar 

Download references

Author information

Authors and Affiliations

  1. Unité de Recherche en Energies Renouvelables en Milieu Saharien, URER-MS, Centre de Développement des Energies Renouvelables, CDER, 01000, Adrar, Algeria

    Djamel Saba, Brahim Berbaoui & Rachid Maouedj

  2. Lab.Laboratoire de l’Intelligence Artificielle et les Technologies de l’Information, Fac.Faculté des Nouvelles Technologies de l’Information et de la Communication, Université Kasdi Merbah Ouargla, 30 000, Ouargla, Algeria

    Djamel Saba, Fatima Zohra Laallam & Houssem Eddine Degha

Authors
  1. Djamel Saba
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Fatima Zohra Laallam
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Houssem Eddine Degha
    View author publications

    You can also search for this author in PubMed Google Scholar

  4. Brahim Berbaoui
    View author publications

    You can also search for this author in PubMed Google Scholar

  5. Rachid Maouedj
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Djamel Saba .

Editor information

Editors and Affiliations

  1. Faculty of Computers and Information, Cairo University, Giza, Egypt

    Aboul Ella Hassanien

Rights and permissions

Reprints and permissions

Copyright information

© 2019 Springer Nature Switzerland AG

About this chapter

Check for updates. Verify currency and authenticity via CrossMark

Cite this chapter

Saba, D., Laallam, F.Z., Degha, H.E., Berbaoui, B., Maouedj, R. (2019). Design and Development of an Intelligent Ontology-Based Solution for Energy Management in the Home. In: Hassanien, A. (eds) Machine Learning Paradigms: Theory and Application. Studies in Computational Intelligence, vol 801. Springer, Cham. https://doi.org/10.1007/978-3-030-02357-7_7

Download citation

Publish with us

Policies and ethics

Search

Navigation