Aggregated Load Forecasting
Aggregated Load Forecasting is a type of load forecasting that predicts the collective electricity demand across multiple consumers, geographic areas, or load categories by integrating individual consumption patterns into a single, unified forecast, thereby enabling more stable and accurate predictions at a higher hierarchical level compared to individual-level forecasts.
65
Publications
3.9K
Citations
242
Authors
101
Institutions
Publications per year
2017–2026
39
Variants
Aggregate Load Forecasting
Parents
65
An Ensemble Forecasting Method for the Aggregated Load With Subprofiles
Yi Wang, Qixin Chen, Mingyang Sun et al. · IEEE Transactions on Smart Grid · 2018 · 208 citations
Computing, Data Science, Forecasting +16
1–5 of 65
242
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Global Energy Interconnection Research Institute North America, United States
2 publications · 54 citations
2
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2
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1–5 of 242
101
Stanford University
Stanford, United States
5 h-index
10 publications
460 citations

North China Electric Power University
Beijing, China
3 h-index
6 publications
925 citations

McGill University
Montreal, Canada
2 h-index
4 publications
899 citations

Imperial College London
London, United Kingdom
2 h-index
4 publications
946 citations
University of Siena
Siena, Italy
2 h-index
9 publications
330 citations
University of New Brunswick
Fredericton, Canada
2 h-index
11 publications
326 citations
Politecnico di Torino
Turin, Italy
2 h-index
4 publications
123 citations
Global Energy Interconnection Research Institute North America
San Jose, United States
2 h-index
8 publications
216 citations
1–8 of 101
5 publications · 406 citations
5
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5 publications · 212 citations
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4 publications · 618 citations
4
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3 publications · 319 citations
3
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3 publications · 77 citations
3
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