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Using conditional Invertible Neural Networks to perform mid‐term peak load forecasting

Abstract Measures for balancing the electrical grid, such as peak shaving, require accurate peak forecasts for lower aggregation levels of electrical loads. Thus, the Big Data Energy Analytics Laboratory (BigDEAL) challenge—organised by the BigDEAL—focused on forecasting three different daily peak c...

Ausführliche Beschreibung

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Bibliografische Detailangaben
Hauptverfasser: Benedikt Heidrich, Matthias Hertel, Oliver Neumann, Veit Hagenmeyer, Ralf Mikut
Format: Artigo
Sprache:Inglês
Veröffentlicht: Wiley 2024-08-01
Schriftenreihe:IET Smart Grid
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Online-Zugang:https://doi.org/10.1049/stg2.12169
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