Demand forecasting is an important aspect in supply chain management that could contribute to enhancing the profit and … increasing the efficiency by aligning the supply channels with anticipated demand. In the retail industry, customers and their … needs are diverse making demand forecasting a challenging task. In this regard, this study aims at developing a three …

demand for Tunisia, by presenting different techniques of detection of seasonality and the parametric and non …

This paper applies combining forecasts of air travel demand generated from the same model but over different estimation … travel demand with distinct seasonal patterns at the largest German airport Frankfurt am Main. Furthermore, forecasts with …

The demand forecasting is essential for all production and non-production systems. However, nowadays there are only few … researches on this area. Most of researches somehow benefited from simulation in the conditions of demand uncertainty. But this … paper presents an iterative method to find most probable stochastic demand point with normally distributed and independent …

electricity demand in Australia to the time of the day and intra-day temperature. We show a superior model fit when using Daylight … that relates instantaneous electricity demand sensitivity to temperature as a function of the daily activity cycle. The … frequency electricity demand forecasting. The overall accuracy of the proposed GAM specification in predicting demand is …

capture and explain the patterns and the determinants of German tourism demand in Croatia.Design – The present study is based …