Load Profile Modeling is a computational framework that characterizes and predicts the temporal patterns of electricity demand at the individual or aggregated consumer level by statistically or machine-learning-based extraction of load usage behaviors from historical consumption data.
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A bottom-up approach to residential load modeling
A. Capasso, W. Grattieri, R. Lamedica et al. · IEEE Transactions on Power Systems · 1994 · 490 citations
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Tsinghua University
Beijing, China
18 h-index
67 publications
5.3K citations
Politecnico di Torino
Turin, Italy
16 h-index
53 publications
3.4K citations
Lawrence Berkeley National Laboratory
Berkeley, United States
14 h-index
46 publications
2K citations
North China Electric Power University
Beijing, China
13 h-index
40 publications
2.6K citations
Pacific Northwest National Laboratory
Richland, United States
12 h-index
33 publications
1.6K citations
University of Lisbon
Lisbon, Portugal
12 h-index
30 publications
875 citations
University of Manchester
Manchester, United Kingdom
12 h-index
23 publications
1.4K citations
National Sun Yat-sen University
Kaohsiung City, Taiwan
12 h-index
26 publications
1.1K citations
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- IEEE Transactions on Power Systems
54 publications · 6.5K citations
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- IEEE Transactions on Smart Grid
55 publications · 5.2K citations
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- Applied Energy
48 publications · 4.4K citations
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- Energy and Buildings
50 publications · 3.3K citations
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- Energy
44 publications · 3.4K citations
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