Load Clustering
Load Clustering is a data-driven methodology in load forecasting that partitions electrical consumption patterns into distinct groups based on similarity in temporal usage profiles, enabling improved prediction accuracy through segmentation of heterogeneous demand behaviors.
351
Publications
16.6K
Citations
1.1K
Authors
370
Institutions
Publications per year
2017–2026
186
Parents
351
1–5 of 351
1.1K
17
h-index
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8
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7
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1–5 of 1.1K
370
Politecnico di Torino
Turin, Italy
17 h-index
54 publications
4.3K citations

North China Electric Power University
Beijing, China
13 h-index
47 publications
2.1K citations
Tsinghua University
Beijing, China
9 h-index
20 publications
2.6K citations

Polytechnic Institute of Porto
Porto, Portugal
9 h-index
30 publications
2.3K citations
Tianjin University
Tianjin, China
9 h-index
20 publications
1K citations

Universitatea Națională de Știință și Tehnologie Politehnica București
Bucharest, Romania
8 h-index
17 publications
1.4K citations
Technical University of Denmark
Kongens Lyngby, Denmark
8 h-index
15 publications
531 citations

Shenzhen University
Shenzhen, China
7 h-index
11 publications
264 citations
1–8 of 370
21 publications · 2.6K citations
19
h-index
22 publications · 653 citations
16
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16 publications · 700 citations
15
h-index
11 publications · 1K citations
11
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11 publications · 1.5K citations
11
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