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Artificial Intelligence (AI) Applications and Techniques in Smart Grid

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ISGW 2018 Compendium of Technical Papers (ISGW 2018)

Part of the book series: Lecture Notes in Electrical Engineering ((LNEE,volume 580))

Abstract

Smart Grid aims to provide grid stability, balance supply & demand, ensure reliability of power supply and enable greater integration of diverse generators & consumers. To enable these objectives, amongst others, use of Artificial Intelligence techniques plays a pivotal role. This paper gives a brief about the various applications of AI for successful implementation of Smart Grid. It also highlights the features of various AI techniques and their relevance in the emerging power eco-system.

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Author information

Authors and Affiliations

  1. Suzlon Energy Limited, Pune, India

    Vinay Gupta

Authors
  1. Vinay Gupta
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Corresponding author

Correspondence to Vinay Gupta .

Editor information

Editors and Affiliations

  1. India Smart Grid Forum (ISGF), New Delhi, Delhi, India

    Reji Kumar Pillai

  2. Electric Power Research Institute (EPRI), Palo Alto, CA, USA

    Girish Ghatikar

  3. Biosirus, Markham, ON, Canada

    Ravi Seethapathy

  4. Former Member (Tech), MERC, Mumbai, Maharashtra, India

    Vijay L. Sonavane

  5. Department of Electrical Engineering, Indian Institute of Technology Bombay, Mumbai, Maharashtra, India

    S. A. Khaparde

  6. Department of Electrical Engineering, Indian Institute of Technology Hyderabad, Hyderabad, Andhra Pradesh, India

    Pradeep Kumar Yemula

  7. Chair Working Group 7, India Smart Grid Forum (ISGF), New Delhi, Delhi, India

    Samir Chaudhuri

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Cite this paper

Gupta, V. (2020). Artificial Intelligence (AI) Applications and Techniques in Smart Grid. In: Pillai, R., et al. ISGW 2018 Compendium of Technical Papers. ISGW 2018. Lecture Notes in Electrical Engineering, vol 580. Springer, Singapore. https://doi.org/10.1007/978-981-32-9119-5_19

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  • DOI: https://doi.org/10.1007/978-981-32-9119-5_19

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-32-9118-8

  • Online ISBN: 978-981-32-9119-5

  • eBook Packages: EnergyEnergy (R0)

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