Meter Data Analytics is a computational methodology that distinguishes itself through the systematic examination and interpretation of energy meter measurements to extract meaningful patterns, detect anomalies, and support decision-making in energy systems management.
179
Publications
11.1K
Citations
547
Authors
241
Institutions
Publications per year
2017–2026
113
Parents
Publications
179
Review of Smart Meter Data Analytics: Applications, Methodologies, and Challenges
Yi Wang, Qixin Chen, Tao Hong et al. · IEEE Transactions on Smart Grid · 2018 · 1.3K citations · Full text
1–5 of 179
Authors
547
- XL
8
h-index
- YW
5
h-index
- XY
3
h-index
- PS
3
h-index
- DA
3
h-index
1–5 of 547
Institutions
241
Tsinghua University
Beijing, China
7 h-index
15 publications
4.5K citations
Technical University of Denmark
Kongens Lyngby, Denmark
7 h-index
10 publications
686 citations
ETH Zurich
Zurich, Switzerland
6 h-index
11 publications
1K citations
Lawrence Berkeley National Laboratory
Berkeley, United States
4 h-index
9 publications
363 citations
Stanford University
Stanford, United States
4 h-index
10 publications
409 citations
Universidade Estadual de Campinas (UNICAMP)
Campinas, Brazil
3 h-index
8 publications
235 citations
University of Bamberg
Bamberg, Germany
3 h-index
8 publications
413 citations
University College Dublin
Dublin, Ireland
3 h-index
6 publications
401 citations
1–8 of 241
Venues
- IEEE Transactions on Smart Grid
10 publications · 2.4K citations
10
h-index
- Energy and Buildings
8 publications · 250 citations
8
h-index
- Energy
6 publications · 271 citations
6
h-index
- IEEE Access
5 publications · 275 citations
5
h-index
- Applied Energy
5 publications · 801 citations
5
h-index
1–5