Big Data Analytics in Smart Grids

Ümit Demirbaga, Gagangeet Singh Aujla (), Anish Jindal () and Oğuzhan Kalyon ()
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Ümit Demirbaga: University of Cambridge, Department of Medicine
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

Chapter Chapter 11 in Big Data Analytics, 2024, pp 249-263 from Springer

Abstract: 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.

Date: 2024
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DOI: 10.1007/978-3-031-55639-5_11

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