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International Conference on Advanced Intelligent Systems for Sustainable Development

AI2SD 2018: Advanced Intelligent Systems for Sustainable Development (AI2SD’2018) pp 131–140Cite as

Ontology-Based Context Agent for Building Energy Management Systems

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Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 912))

Abstract

Replacing existing electrical grids by future smart grids opens a several opportunities for energy-efficient operation of buildings and cities as well as improved coordination of energy load and supply. Future energy systems will be managed by smart controllers. These smart devices will have to interoperate, they need to exchange information with each other in order to cooperate over complex control tasks. Current data and communication technology provides a suitable basis for the bidirectional flow of information between smart buildings and other smart grid stakeholders. Interoperability will only be achieved when Smart Grid appliances share common semantics on the data they exchange. However, a common concept of shared real energy state and knowledge is essential in order to unify heterogeneous grid contexts, incorporate information of smart grid participants, and process this information in building energy management systems.

In this work, a context agent based on an OWL ontology is presented that enables semantic representation of knowledge for interaction between building energy management systems and smart grids and end prosumers. A well-proven methodology is used to develop this ontology. Furthermore, the ontology application into building energy management systems and smart grid environments is figured, and the functional capabilities of this approach are shown.

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References

  1. Hamdaoui, Y., Maach, A.: Smart islanding in smart grids. In: Smart Energy Grid Engineering (SEGE), 2016 IEEE, pp. 175–180 (2016). https://doi.org/10.1109/SEGE.2016.7589521

  2. Hamdaoui, Y., Maach, A.: An intelligent islanding selection algorithm for optimizing the distribution network based on emergency classification. In: 2017 International Conference on Wireless Technologies, Embedded and Intelligent Systems (WITS), pp. 1–7 (2017). https://doi.org/10.1109/WITS.2017.7934627

  3. Hamdaoui, Y., Maach, A.: A smart approach for intentional islanding based on dynamic selection algorithm in Microgrid with distributed generation. In: 2017 International Conference on Big Data, Cloud and Application (BDCA), pp. 1–7. ACM (2017). https://doi.org/10.1145/3090354.3090410

  4. Hamdaoui, Y., Maach, A.: A cyber-physical power distribution management system for smart buildings. In: Ben Ahmed, M., Boudhir, A.A. (eds.) SCAMS 2017. LNNS, vol. 37, pp. 538–550. Springer, Cham (2018). https://doi.org/10.1007/978-3-319-74500-8_50

    Chapter  Google Scholar 

  5. Farhangi, H.: The path of the smart grid. IEEE Power Energ. Mag. 8(1), 18–28 (2010)

    Article  MathSciNet  Google Scholar 

  6. Hamdaoui, Y., Maach, A.: A novel smart distribution system for an islanded region. In: Ezziyyani, M., Bahaj, M., Khoukhi, F. (eds.) AIT2S 2017. LNNS, vol. 25, pp. 269–279. Springer, Cham (2018). https://doi.org/10.1007/978-3-319-69137-4_24

    Chapter  Google Scholar 

  7. Martinez-Cruz, C., Blanco, I.J., Vila, M.A.: Ontologies versus relational databases: are they so different? A comparison. Artif. Intell. Rev. 38(4), 271–290 (2012)

    Article  Google Scholar 

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

    Article  Google Scholar 

  9. Stavropoulos, T.G., Vrakas, D., Vlachava, D., Bassiliades, N.: BOnSAI: a smart building ontology for ambient intelligence. In: Proceedings of the ACM International Conference on Web Intelligence, Mining and Semantics, no. 30, pp. 1–12 (2012)

    Google Scholar 

  10. Kofler, M.J., Reinisch, C., Kastner, W.: A semantic representation of energy-related information in future smart homes. Energy Build. 47, 169–179 (2012)

    Article  Google Scholar 

  11. Shah, N., Chao, K.-M., Zlamaniec, T., Matei, A.: Ontology for home energy management domain. In: Digital Information and Communication Technology and Its Applications, pp. 337–347. Springer (2011)

    Google Scholar 

  12. Grassi, M., Nucci, M., Piazza, F.: Ontologies for smart homes and energy management: an implementation-driven survey. In: Proceedings of the IEEE Workshop on Modeling and Simulation of Cyber-Physical Energy Systems, pp. 1–3 (2013)

    Google Scholar 

  13. Zhou, Q., Natarajan, S., Simmhan, Y., Prasanna, V.: Semantic information modeling for emerging applications in smart grid. In: Proceedings of the International Conference on Information Technology: New Generations, pp. 775–782 (2012)

    Google Scholar 

  14. Hamdaoui, Y., Maach, A.: Dynamic balancing of powers in islanded microgrid using distributed energy resources and prosumers for efficient energy management. In: 2017 IEEE Smart Energy Grid Engineering (SEGE), IEEE (2017). https://doi.org/10.1109/SEGE.2017.8052792

  15. US DoE: SMART GRID and Demand Response. US Departement of Energy (2010). http://energy.gov/oe/technology-development/smart-grid/demand-response

  16. Spataru, C., Barrett, M.: Smart consumers, smart controls, smart grid. In: Sustainability in Energy and Buildings, vol. 22, pp. 381–389. Springer, Heidelberg (2013)

    Chapter  Google Scholar 

  17. Roche, R., Blunier, B., Miraoui, A., Hilaire, V., Koukam, A.: Multi-agent systems for grid energy management: a short review. In: 36th Annual Conference IEEE Industrial Electronics Society, IECON 2010, pp. 3341–3346, November 2010

    Google Scholar 

  18. Junwei, L., Bo, Z.: Research on energy management system based on multi-agent, pp. 253–255, July 2010

    Google Scholar 

  19. Dey, A.K.: Understanding and using context. Pers. Ubiquit. Comput. PUC 5(1), 4–7 (2001)

    Article  Google Scholar 

  20. Salber, D., Dey, A.K., Abowd, G.D.: Designing and building context aware applications. http://www.cc.gatech.edu/fce/contexttoolkit

  21. Web Ontology Language. http://www.w3.org/TR/owl-features/

  22. Grau, B.C., Horrocks, I., Motik, B., Parsia, B., Patel-Schneider, P., Sattler, U.: OWL 2: the next step for OWL. Web Semantics Sci. Serv. Agents World Wide Web 6(4), 309–322 (2008)

    Article  Google Scholar 

  23. Hamdaoui Y., Maach A.: Optimized energy management of electric vehicles connected to microgrid. In: M. Ezziyyani, M. (ed.) AI2SD 2018, vol. 912, pp. 371–387. Springer, Cham, (2019). https://doi.org/10.1007/978-3-030-12065-8_34

    Google Scholar 

  24. Hamdaoui, Y., Maach, A.: Energy efficiency approach for smart building in islanding mode based on distributed energy resources. In: Ezziyyani, M., Bahaj, M., Khoukhi, F. (eds.) AIT2S 2017. LNNS, vol. 25, pp. 36–49. Springer, Cham (2018). https://doi.org/10.1007/978-3-319-69137-4_4

    Chapter  Google Scholar 

  25. Hamdaoui, Y., Maach, A., El Hadri, A.: Autonomous power distribution system through smart dynamic selection model using islanded micro grid context parameters and based on renewable resources. Int. J. Mech. Eng. Technol. (IJMET) 9(11), 1755–1780 (2018)

    Google Scholar 

  26. Hamdaoui, Y., Maach, A.: Prosumers integration and the hybrid communication in smart grid context. In: Networked Systems. LNCS, vol. 9466. Springer, Cham (2015)

    Google Scholar 

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Author information

Authors and Affiliations

  1. Department of Computer Science, Mohammadia School of Engineers (EMI), Mohammed V University, Rabat, Morocco

    Youssef Hamdaoui & Abdelilah Maach

Authors
  1. Youssef Hamdaoui
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  2. Abdelilah Maach
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Corresponding author

Correspondence to Youssef Hamdaoui .

Editor information

Editors and Affiliations

  1. Computer Sciences Department, Faculty of Sciences and Techniques of Tangier, Abdelmalek Essaâdi University, Souani Tangier, Morocco

    Mostafa Ezziyyani

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Hamdaoui, Y., Maach, A. (2019). Ontology-Based Context Agent for Building Energy Management Systems. In: Ezziyyani, M. (eds) Advanced Intelligent Systems for Sustainable Development (AI2SD’2018). AI2SD 2018. Advances in Intelligent Systems and Computing, vol 912. Springer, Cham. https://doi.org/10.1007/978-3-030-12065-8_13

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