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Data Analytics for Smart Grids and Applications—Present and Future Directions

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Data Analytics for Smart Grids Applications—A Key to Smart City Development

Part of the book series: Intelligent Systems Reference Library ((ISRL,volume 247))

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Abstract

Smart grids are designed to be more efficient, reliable and sustainable than traditional grids, and they rely heavily on the collection and analysis of vast amounts of data. The smart grid represents a transformative opportunity to modernize the energy industry by intelligently and cooperatively managing power generation, transmission, and distribution through bi-directional automation. While the functions and forms of smart grid technologies and applications vary, they share potential benefits such as intelligent energy curtailment, efficient integration of demand response, distributed renewable generation, and energy storage. This paper provides a comprehensive review of recent advances and research developments in the smart grid paradigm, with a focus on application-based categories. The study thoroughly investigates each category and sub-category, beginning with an overview of smart grid concepts and structures. The paper reviews recent advances in energy data management, pricing modalities, and predominant components of the smart grid, followed by a thorough examination of network reliability.

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Authors and Affiliations

  1. Department of Electronics & Communication Engineering, Faculty of Engineering and Technology, SRM Institute of Science and Technology, Delhi-NCR Campus, Delhi-Meerut Road, Modinagar, Ghaziabad, India

    Urvashi Gupta & Rohit Sharma

Authors
  1. Urvashi Gupta
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  2. Rohit Sharma
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Correspondence to Rohit Sharma .

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Editors and Affiliations

  1. Delhi - NCR Campus, SRM Institute of Science and Technology, Ghaziabad, India

    Devendra Kumar Sharma

  2. Delhi - NCR Campus, SRM Institute of Science and Technology, Ghaziabad, India

    Rohit Sharma

  3. Dept. of Embedded Systems Engineering, Incheon National University, Incheon, Korea (Republic of)

    Gwanggil Jeon

  4. Computer Science&Engineering, GIET University, Gunupur, Gunupur, India

    Raghvendra Kumar

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Gupta, U., Sharma, R. (2023). Data Analytics for Smart Grids and Applications—Present and Future Directions. In: Kumar Sharma, D., Sharma, R., Jeon, G., Kumar, R. (eds) Data Analytics for Smart Grids Applications—A Key to Smart City Development. Intelligent Systems Reference Library, vol 247. Springer, Cham. https://doi.org/10.1007/978-3-031-46092-0_1

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