Weighted Contrastive Learning for Anomaly-Aware Time-Series Forecasting

Joel Ekstrand, Tor Mattsson, Zahra Taghiyarrenani +3

Reliable forecasting of multivariate time series under anomalous conditions is crucial in applications such as ATM cash logistics, where sudden demand shifts can disrupt operations…