Forecasting With Exogenous Variables
Forecasting with Exogenous Variables is a time series forecasting approach that incorporates external predictor variables, distinct from the target series, to improve prediction accuracy by modeling their influence on the observed temporal dynamics.
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13K
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828
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448
Institutions
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2017–2026
145
Variants
Exogenous Time Series Forecasting
Parents
279
Short-Term Load Forecasts Using LSTM Networks
Shahzad Muzaffar, Afshin Afshari · Energy Procedia · 2019 · 371 citations · Full text
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National Technical University of Athens
Athens, Greece
4 h-index
6 publications
402 citations

Universidad Politécnica de Madrid
Madrid, Spain
3 h-index
8 publications
122 citations
Pontifícia Universidade Católica do Rio de Janeiro
Rio de Janeiro, Brazil
3 h-index
8 publications
161 citations

Institut National de la Recherche Scientifique
Québec, Canada
3 h-index
7 publications
540 citations

Chinese Center For Disease Control and Prevention
Beijing, China
3 h-index
13 publications
517 citations

Aston University
Birmingham, United Kingdom
3 h-index
3 publications
113 citations
Banque de France
Paris, France
3 h-index
6 publications
180 citations

Universidade do Estado do Rio de Janeiro
Rio de Janeiro, Brazil
3 h-index
5 publications
104 citations
1–8 of 448
15 publications · 839 citations
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Repository · 7 publications · 295 citations
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6 publications · 994 citations
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5 publications · 536 citations
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5 publications · 211 citations
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