.... The purpose of this paper is to forecast container throughput using deep learning methods and benchmark its performance over other traditional time-series methods. Design/methodology/approach In this study, long short-term memory (LSTM) networks are implemented to forecast container throughput...

... the properties of the demand generating process were known. Complete (perfect) knowledge of the time series generating process implies that the statistical properties of the demand (the orders and/or coefficients of the subaggregate series) are known prior to determining aggregate forecasts. Regression analysis...