Time Series Aggregation is a data abstraction method that systematically reduces temporal granularity by summarizing sequential data points over defined intervals, thereby enabling efficient analysis and interpretation of large-scale time-dependent datasets.
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2017–2026
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Time series aggregation for energy system design: Modeling seasonal storage
Leander Kotzur, Peter Markewitz, Martin Robinius et al. · Applied Energy · 2018 · 274 citations · Full text
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Polish Academy of Sciences
Warsaw, Poland
8 h-index
8 publications
454 citations
Systems Research Institute
Warsaw, Poland
8 h-index
8 publications
454 citations
RWTH Aachen University
Aachen, Germany
7 h-index
7 publications
858 citations
University of Wisconsin–Madison
Madison, United States
6 h-index
6 publications
372 citations
Forschungszentrum Jülich
Jülich, Germany
4 h-index
4 publications
716 citations
Federal Reserve
Washington D.C., United States
4 h-index
4 publications
396 citations
Federal Reserve Board of Governors
Washington D.C., United States
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4 publications
396 citations
Stanford University
Stanford, United States
3 h-index
3 publications
228 citations
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- SSRN Electronic Journal
Repository · 7 publications · 355 citations
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- Applied Energy
5 publications · 413 citations
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- Biometrika
4 publications · 279 citations
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- International Economic Review
4 publications · 261 citations
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- Journal of Econometrics
3 publications · 430 citations
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