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A Semantic Middleware Architecture Focused on Data and Heterogeneity Management within the Smart Grid

Author

Listed:
  • Rubén De Diego

    (Research Center on Software Technologies and Multimedia Systems for Sustainability (CITSEM—Centro de Investigación en Tecnologías Software y Sistemas Multimedia para la Sostenibilidad), Campus Sur UPM, Ctra. Valencia, Km 7, Madrid 28031, Spain)

  • José-Fernán Martínez

    (Research Center on Software Technologies and Multimedia Systems for Sustainability (CITSEM—Centro de Investigación en Tecnologías Software y Sistemas Multimedia para la Sostenibilidad), Campus Sur UPM, Ctra. Valencia, Km 7, Madrid 28031, Spain)

  • Jesús Rodríguez-Molina

    (Research Center on Software Technologies and Multimedia Systems for Sustainability (CITSEM—Centro de Investigación en Tecnologías Software y Sistemas Multimedia para la Sostenibilidad), Campus Sur UPM, Ctra. Valencia, Km 7, Madrid 28031, Spain)

  • Alexandra Cuerva

    (Research Center on Software Technologies and Multimedia Systems for Sustainability (CITSEM—Centro de Investigación en Tecnologías Software y Sistemas Multimedia para la Sostenibilidad), Campus Sur UPM, Ctra. Valencia, Km 7, Madrid 28031, Spain)

Abstract

There is an increasing tendency of turning the current power grid, essentially unaware of variations in electricity demand and scattered energy sources, into something capable of bringing a degree of intelligence by using tools strongly related to information and communication technologies, thus turning into the so-called Smart Grid. In fact, it could be considered that the Smart Grid is an extensive smart system that spreads throughout any area where power is required, providing a significant optimization in energy generation, storage and consumption. However, the information that must be treated to accomplish these tasks is challenging both in terms of complexity (semantic features, distributed systems, suitable hardware) and quantity (consumption data, generation data, forecasting functionalities, service reporting), since the different energy beneficiaries are prone to be heterogeneous, as the nature of their own activities is. This paper presents a proposal on how to deal with these issues by using a semantic middleware architecture that integrates different components focused on specific tasks, and how it is used to handle information at every level and satisfy end user requests.

Suggested Citation

  • Rubén De Diego & José-Fernán Martínez & Jesús Rodríguez-Molina & Alexandra Cuerva, 2014. "A Semantic Middleware Architecture Focused on Data and Heterogeneity Management within the Smart Grid," Energies, MDPI, vol. 7(9), pages 1-42, September.
    • Handle: RePEc:gam:jeners:v:7:y:2014:i:9:p:5953-5994:d:40066
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    References listed on IDEAS

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    1. S. Ehsan Shafiei & Henrik Rasmussen & Jakob Stoustrup, 2013. "Modeling Supermarket Refrigeration Systems for Demand-Side Management," Energies, MDPI, vol. 6(2), pages 1-21, February.
    2. Yoseba K. Penya & Juan Carlos Nieves & Angelina Espinoza & Cruz E. Borges & Aitor Peña & Mariano Ortega, 2012. "Distributed Semantic Architecture for Smart Grids," Energies, MDPI, vol. 5(11), pages 1-20, November.
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    Cited by:

    1. Jesús Rodríguez-Molina & José-Fernán Martínez & Pedro Castillejo & Gregorio Rubio, 2017. "Development of Middleware Applied to Microgrids by Means of an Open Source Enterprise Service Bus," Energies, MDPI, vol. 10(2), pages 1-50, February.
    2. Jesús Rodríguez-Molina & José-Fernán Martínez & Pedro Castillejo, 2016. "A Study on Applicability of Distributed Energy Generation, Storage and Consumption within Small Scale Facilities," Energies, MDPI, vol. 9(9), pages 1-35, September.
    3. Hrvoje Keserica & Stjepan Sučić & Tomislav Capuder, 2019. "Standards-Compliant Chat-Based Middleware Platform for Smart Grid Management," Energies, MDPI, vol. 12(4), pages 1-12, February.
    4. Tarek A. Youssef & Ahmed T. Elsayed & Osama A. Mohammed, 2016. "Data Distribution Service-Based Interoperability Framework for Smart Grid Testbed Infrastructure," Energies, MDPI, vol. 9(3), pages 1-22, March.

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