Constructing Renewable Energy Systems Using Big Data Applications

Nassim Sohaee ()
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Nassim Sohaee: University of North Texas

A chapter in Handbook of Smart Energy Systems, 2023, pp 347-359 from Springer

Abstract: 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.

Keywords: Big data; Forecast; Neural network; Blockchain (search for similar items in EconPapers)
Date: 2023
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Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-3-030-97940-9_176

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DOI: 10.1007/978-3-030-97940-9_176

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