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Constructing Renewable Energy Systems Using Big Data Applications

In: Handbook of Smart Energy Systems

Author

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  • Nassim Sohaee

    (University of North Texas)

Abstract

In this chapter we will discuss how big data helps in advancing the field of smart energy systems. Massive data is collected over time in the energy sector. Data are gathered from sources like wireless transmission, network communication, and cloud computing technologies. We will discuss analytical techniques to effectively and efficiently integrate renewable energy sources into the system. Constructing a data-driven smart energy system can provide essential support for the efficient expansion of the renewable energy industry. We will discuss some applications that can be developed or implemented only in the presence of big unstructured data.

Suggested Citation

  • Nassim Sohaee, 2023. "Constructing Renewable Energy Systems Using Big Data Applications," Springer Books, in: Michel Fathi & Enrico Zio & Panos M. Pardalos (ed.), Handbook of Smart Energy Systems, pages 347-359, Springer.
    • Handle: RePEc:spr:sprchp:978-3-030-97940-9_176
    DOI: 10.1007/978-3-030-97940-9_176
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