Distributions of forecasting errors of forecast combinations: implications for inventory management
D. Barrow and N. Kourentzes, 2016, International Journal of Production Economics, 177: 24-33. http://dx.doi.org/10.1016/j.ijpe.2016.03.017
Category Archives: Journal papers
Forecasting with multivariate temporal aggregation: The case of promotional modelling
N. Kourentzes and F. Petropoulos, 2015, International Journal of Production Economics, 181: 145-153. http://dx.doi.org/10.1016/j.ijpe.2015.09.011
Short-term Solar Irradiation forecasting based on Dynamic Harmonic Regression
J.R. Trapero, N. Kourentzes and A. Martin, 2015, Energy, 84: 289-295. http://dx.doi.org/10.1016/j.energy.2015.02.100
On Intermittent Demand Model Optimisation and Selection
N. Kourentzes, 2014, International Journal of Production Economics, 156: 180-190. http://dx.doi.org/10.1016/j.ijpe.2014.06.007
Forecast Combinations for Intermittent Demand
F. Petropoulos and N. Kourentzes, 2015, Journal of Operational Research Society, 66: 914-924. http://dx.doi.org/10.1057/jors.2014.62
Neural network ensemble operators for time series forecasting
N. Kourentzes, D. K. Barrow and S. F. Crone, 2014, Expert Systems with Applications, 41: 4235-4244. http://dx.doi.org/10.1016/j.eswa.2013.12.011
Improving forecasting by estimating time series structural components across multiple frequencies
N. Kourentzes, F. Petropoulos and J. R. Trapero, 2014, International Journal of Forecasting, 30: 291-302. http://dx.doi.org/10.1016/j.ijforecast.2013.09.006
On the identification of sales forecasting models in the presence of promotions
J. R. Trapero, N. Kourentzes and R. Fildes, 2014, Journal of the Operantional Research Society, 66: 299-307. http://dx.doi.org/10.1057/jors.2013.174
Intermittent Demand Forecasts with Neural Networks
N. Kourentzes, 2013, International Journal of Production Economics, 143: 198-206. http://dx.doi.org/10.1016/j.ijpe.2013.01.009
Analysis of judgmental adjustments in the presence of promotions
J. R. Trapero, D. J. Pedregal, R. Fildes and N. Kourentzes, 2013, International Journal of Forecasting, 29: 234-243. http://dx.doi.org/10.1016/j.ijforecast.2012.10.002