Decision-focused fine-tuning of time series foundation models for dispatchable feeder optimization

Time series foundation models provide a universal solution for generating forecasts to support optimization problems in energy systems. Those foundation models are typically trained in a prediction-focused manner to maximize forecast quality. In contrast, decision-focused learning directly improves...

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Hlavní autoři:	Maximilian Beichter, Nils Friederich, Janik Pinter, Dorina Werling, Kaleb Phipps, Sebastian Beichter, Oliver Neumann, Ralf Mikut, Veit Hagenmeyer, Benedikt Heidrich
Médium:	Artigo
Jazyk:	Inglês
Vydáno:	Elsevier 2025-09-01
Edice:	Energy and AI
Témata:	Deep learning Decision-focused learning Optimization Dispatchable feeder optimization Time series foundation models Parameter efficient fine-tuning
On-line přístup:	http://www.sciencedirect.com/science/article/pii/S2666546825000655
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