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Big Data Analytics for Smart Grid: A Review on State-of-Art Techniques 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

Due to rapid growth of smart grid technologies, massive amount of information is generated from different sources such as sensors, intelligent meters and other devices for monitoring. Big data analytics has emerged as a key technology for analyzing and visualizing this data, enabling utilities to enhance performance and sustainability of electrical systems. This chapter provides detailed review on state-of-art techniques for big data analytics with smart grids including data pre-processing, data mining and visualization. It also highlights the major challenges associated with big data analytics which includes data quality, security and discusses potential solutions to these challenges. Finally, future directions are identified for the same with aid of artificial intelligence and block chain technology.

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Authors and Affiliations

  1. Dhanalakshmi College of Engineering, Chennai, India

    M. Sivakumar

  2. SCSVMV Deemed University, Kanchipuram, India

    K. Umapathy, T. Dinesh Kumar, S. Omkumar & M. A. Archana

  3. Ignatius Ajuru University of Education, Port Harcourt, Rivers State, Nigeria

    Constance Amannah

  4. Scientific Research Centre of the Islamic University, The Islamic University, Najaf, Iraq

    Ahmed Hussein Alkhayyat

Authors
  1. K. Umapathy
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  2. M. Sivakumar
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  3. T. Dinesh Kumar
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  4. S. Omkumar
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  5. M. A. Archana
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  6. Constance Amannah
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  7. Ahmed Hussein Alkhayyat
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Corresponding author

Correspondence to K. Umapathy .

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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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Umapathy, K. et al. (2023). Big Data Analytics for Smart Grid: A Review on State-of-Art Techniques 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_3

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