Load Decomposition
Load Decomposition is a methodological framework in load forecasting that partitions aggregate energy consumption signals into constituent components attributable to distinct end-use devices, behaviors, or temporal patterns, enabling granular analysis and prediction of individual load profiles from meter-level data.
183
Publications
11.4K
Citations
662
Authors
227
Institutions
Publications per year
2017–2026
120
Variants
Energy DisaggregationNilm
Parents
183
Short-Term Load Forecasting: Similar Day-Based Wavelet Neural Networks
Ying Chen, Peter B. Luh, Che Guan et al. · IEEE Transactions on Power Systems · 2009 · 445 citations
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227

North China Electric Power University
Beijing, China
10 h-index
31 publications
1.1K citations
Tsinghua University
Beijing, China
8 h-index
25 publications
3K citations
China Electric Power Research Institute
Beijing, China
4 h-index
12 publications
455 citations
Northeast Electric Power University
Jilin City, China
4 h-index
6 publications
188 citations
University of Connecticut
Storrs, United States
4 h-index
19 publications
3.8K citations

Huazhong University of Science and Technology
Wuhan, China
3 h-index
13 publications
1.1K citations

Lawrence Berkeley National Laboratory
Berkeley, United States
3 h-index
5 publications
126 citations

University of Edinburgh
Edinburgh, United Kingdom
3 h-index
12 publications
2.7K citations
1–8 of 227
15 publications · 2.3K citations
14
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11 publications · 1.1K citations
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9 publications · 553 citations
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7 publications · 678 citations
7
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7 publications · 613 citations
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