Data Science Austria

Forecasting Time-series with Multiple Seasonal Patterns

Forecasting time-series which contain multiple seasonal patterns requires flexible modelling approaches, and the need for continuously updating models emphasises the importance of fast model estimation. In response to shortcomings in current models, a new model is proposed which brings the desirable qualities of speed, flexibility and support for exogenous regressors into a state space model.