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Big Data Analytics in Smart Grids

In: Big Data Analytics

Author

Listed:
  • Ümit Demirbaga

    (University of Cambridge, Department of Medicine
    Bartin University, Department of Computer Engineering, Faculty of Engineering, Architecture, and Design)

  • Gagangeet Singh Aujla

    (Durham University, Department of Computer Science)

  • Anish Jindal

    (Durham University, Department of Computer Science)

  • Oğuzhan Kalyon

    (Newcastle University, Faculty of Medical Sciences)

Abstract

In this chapter, the exploration explores applying big data analytics within the smart grid domain. The journey commences with a comprehensive examination of the smart grid concept, setting the stage for a nuanced understanding. The discourse seamlessly transitions to an in-depth analysis of various analytics types viable in smart grids, intricately detailing the essential reasons driving the need for such analytical interventions. Culminating the chapter is a practical illustration showcasing the application of big data analytics—specifically, predicting societal load demand. This example serves as a tangible demonstration of how sophisticated analytics can be wielded to gain valuable insights within the dynamic landscape of smart grids.

Suggested Citation

  • Ümit Demirbaga & Gagangeet Singh Aujla & Anish Jindal & Oğuzhan Kalyon, 2024. "Big Data Analytics in Smart Grids," Springer Books, in: Big Data Analytics, chapter 0, pages 249-263, Springer.
    • Handle: RePEc:spr:sprchp:978-3-031-55639-5_11
    DOI: 10.1007/978-3-031-55639-5_11
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