7 citations · 7 across the 2 of their papers we have counts for
2 papers
cs.LG2024
Fast Gibbs sampling for the local and global trend Bayesian exponential smoothing model
Xueying Long, Daniel F. Schmidt, Christoph Bergmeir +1
In Smyl et al. [Local and global trend Bayesian exponential smoothing models. International Journal of Forecasting, 2024.], a generalised exponential smoothing model was proposed t…
cs.LG2021★ 7 cited
ES-dRNN: A Hybrid Exponential Smoothing and Dilated Recurrent Neural Network Model for Short-Term Load Forecasting
Slawek Smyl, Grzegorz Dudek, Paweł Pełka
Short-term load forecasting (STLF) is challenging due to complex time series (TS) which express three seasonal patterns and a nonlinear trend. This paper proposes a novel hybrid hi…