Load Profile Forecasting
Load Profile Forecasting is a methodological framework within energy demand forecasting that specifically predicts the temporal distribution of electrical load at the individual or aggregate consumer level over time, distinguishing itself by capturing characteristic usage patterns and variations across different periods, sectors, or customer segments.
162
Publications
8.4K
Citations
534
Authors
233
Institutions
Publications per year
2017–2026
81
Parents
162
1–5 of 162
534
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Norwegian University of Science and Technology, Norway
2 publications · 128 citations
2
h-index
1–5 of 534
233
Politecnico di Milano
Milan, Italy
4 h-index
13 publications
514 citations
Karlsruhe Institute of Technology
Karlsruhe, Germany
4 h-index
15 publications
1.1K citations

Central South University
Changsha, China
3 h-index
8 publications
578 citations
Eindhoven University of Technology
Eindhoven, The Netherlands
3 h-index
8 publications
373 citations

Zhejiang University
Hangzhou, China
3 h-index
3 publications
79 citations
National Technical University of Athens
Athens, Greece
3 h-index
13 publications
1.4K citations

Universidad de Alcalá
Alcalá de Henares, Spain
2 h-index
4 publications
73 citations

North China Electric Power University
Beijing, China
2 h-index
8 publications
208 citations
1–8 of 233
10 publications · 1.3K citations
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9 publications · 1K citations
9
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8 publications · 510 citations
8
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8 publications · 746 citations
8
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4 publications · 201 citations
4
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