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EXAONE Demand 1.0 is a time series foundation model designed for demand forecasting, utilizing a demand-specific corpus and adapter to outperform existing models on 22 datasets.
The paper introduces fable.intermittent, an R package for benchmarking probabilistic forecasting methods for intermittent time series, and presents TWEES, a new exponential smoothing model using Tweedie distribution.