IDEAS home Printed from https://ideas.repec.org/h/spr/sprchp/978-3-030-97940-9_162.html
   My bibliography  Save this book chapter

Energy Semantic Data Management and Utilization in Smart Grid Networks with Focus on Circular Economy

In: Handbook of Smart Energy Systems

Author

Listed:
  • Mohammad Yaser Mofatteh

    (Jacobs University)

  • Amir Pirayesh

    (Centre of Excellence in Supply Chain and Transportation (CESIT), KEDGE Business School)

  • Omid Fatahi Valilai

    (Jacobs University)

Abstract

From the first days of human beings’ existence on the Earth, energy has played an important and sensitive role in mitigating human needs. Nowadays, Energy is still a matter of debate and controversy among various societies independent of advanced or developing categories. Meanwhile, Smart Grid network with its special features and facilitating the process of production and distribution of renewable energy plays a crucial and historic role in improving the environmental status and climate change problems. This network can also be used as a key part in the circular economy model, which leads to economic, environmental, and social sustainability. One of the most basic steps in designing a Smart Grid network is semantic data structures and its management procedures. The data semantic models and how they are used to enable both integration and interoperability in energy Smart Grid highly influence the utilization of sources and planning the energy streams in the whole network. In a situation where this network is composed of different components such as power generation, transformation and transmission, distribution network, and consumption, a huge amount of data will be generated, which makes their interoperability a challenge. In addition, when the concept of smartness in energy Smart Grid networks is discussed, it is emphasized that there should be smart mechanisms to enable the seamless and reliable transfer of data and knowledge correctly through the network of stakeholders. This chapter has discussed the concepts of knowledge representation by focusing on Big Knowledge Graphs and how to represent knowledge with interoperability in energy Smart Grid networks. The focus will be put on the paradigm of smartness for establishing knowledge communication autonomously with circular economy considerations.

Suggested Citation

  • Mohammad Yaser Mofatteh & Amir Pirayesh & Omid Fatahi Valilai, 2023. "Energy Semantic Data Management and Utilization in Smart Grid Networks with Focus on Circular Economy," Springer Books, in: Michel Fathi & Enrico Zio & Panos M. Pardalos (ed.), Handbook of Smart Energy Systems, pages 2899-2922, Springer.
    • Handle: RePEc:spr:sprchp:978-3-030-97940-9_162
    DOI: 10.1007/978-3-030-97940-9_162
    as

    Download full text from publisher

    To our knowledge, this item is not available for download. To find whether it is available, there are three options:
    1. Check below whether another version of this item is available online.
    2. Check on the provider's web page whether it is in fact available.
    3. Perform a search for a similarly titled item that would be available.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:spr:sprchp:978-3-030-97940-9_162. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.