Bridging an energy system model with an ensemble deep-learning approach for electricity price forecasting

This paper combines a techno-economic energy system model with an econometric model to maximise electricity price forecasting accuracy. The proposed combination model is tested on the German day-ahead wholesale electricity market. Our paper also benchmarks the results against several econometric alt...

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Veröffentlicht in:	arXiv.org 2024-11
Hauptverfasser:	Souhir Ben Amor, Möbius, Thomas, Müsgens, Felix
Format:	Artikel
Sprache:	eng
Schlagworte:	Accuracy Alternative energy sources Artificial neural networks Benchmarks Econometrics Economic forecasting Electricity Electricity pricing Machine learning
Online-Zugang:	Volltext
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