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Evaluating Time Series Foundation Models for Electricity Price Forecasting: Contamination Risk, Distributional Shifts, and Covariate Dependence
Researchers introduce a two-dataset benchmarking framework to rigorously evaluate time series foundation models (TSFMs) for electricity price forecasting, revealing their competitive but context-dependent performance and identifying contamination risk and covariate dependence as critical evaluation challenges.
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"New research finds time series foundation models perform well on electricity price forecasting but require careful benchmarking to avoid contamination; ensembles with domain-specific models show promise."
arXiv Machine Learning
Jul 8, 2026