Grid Data Analytics

Grid Data Analytics is a computational methodology that distinguishes itself by enabling the systematic extraction, processing, and interpretation of large-scale, heterogeneous data streams from smart grid infrastructure to support real-time decision-making, performance optimization, and predictive modeling in electrical power systems.

97

Publications

5.1K

Citations

358

Authors

168

Institutions

Publications per year

2017–2026

45

Variants

Smart Grid Analytics

Authors

358

  1. YL
    Yilu Liu

    University of Tennessee at Knoxville, United States

    4 publications · 333 citations

    4

    h-index

  2. DZ
    Dao Zhou

    University of Tennessee at Knoxville, United States

    3 publications · 317 citations

    3

    h-index

  3. ES
    Emma Stewart

    Lawrence Berkeley National Laboratory, United States

    3 publications · 131 citations

    3

    h-index

  4. AK
    Aparna Kumari

    Nirma University, India

    2 publications · 206 citations

    2

    h-index

  5. RP
    Radu Prodan

    Universität Innsbruck, Austria

    2 publications · 26 citations

    2

    h-index

1–5 of 358

Venues

  1. Renewable and Sustainable Energy Reviews

    4 publications · 819 citations

    5

    h-index

  2. IEEE Access

    4 publications · 274 citations

    4

    h-index

  3. Procedia Technology

    3 publications · 170 citations

    3

    h-index

  4. Proceedings of the IEEE

    2 publications · 64 citations

    2

    h-index

  5. IEEE Power and Energy Magazine

    2 publications · 100 citations

    2

    h-index

1–5