The paper proposes Retrieval Augmented Forecasting (RAF) that augments time-series foundation models with retrieved similar series to improve forecasting accuracy across domains.
NN5 dataset ([10]) consists of 111 daily time series of cash withdrawals from Automated Teller Machines (ATMs) in the UK, and was utilized in the NN5 forecasting competition
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Retrieval Augmented Time Series Forecasting
The paper proposes Retrieval Augmented Forecasting (RAF) that augments time-series foundation models with retrieved similar series to improve forecasting accuracy across domains.