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
Parents
97
Tanveer Ahmad, Rafał Madoński, Dongdong Zhang et al. · Renewable and Sustainable Energy Reviews · 2022 · 669 citations
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168

Lawrence Berkeley National Laboratory
Berkeley, United States
3 h-index
7 publications
149 citations

Oak Ridge National Laboratory
Oak Ridge, United States
3 h-index
7 publications
346 citations

Shanghai Jiao Tong University
Shanghai, China
3 h-index
8 publications
406 citations
University of Tennessee at Knoxville
Knoxville, United States
3 h-index
21 publications
2.4K citations

Imperial College London
London, United Kingdom
3 h-index
11 publications
404 citations
Texas A&M University
College Station, United States
3 h-index
6 publications
144 citations

Fermi National Accelerator Laboratory
Batavia, United States
2 h-index
3 publications
221 citations

University of Waterloo
Waterloo, Canada
2 h-index
8 publications
412 citations
1–8 of 168
4 publications · 819 citations
5
h-index
4 publications · 274 citations
4
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3 publications · 170 citations
3
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2 publications · 64 citations
2
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2 publications · 100 citations
2
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1–5