Nikolaos Kourentzes

Elucidate structure in intermittent demand series

Nikolaos Kourentzes, George Athanasopoulos

European Journal of Operational Research

2021. Artikel. https://doi.org/10.1016/j.ejor.2020.05.046

Visitor arrivals forecasts amid COVID-19: A perspective from the Africa team

Nikolaos Kourentzes, Andra Saayman, Philippe Jean-Pierre, Davide Provenzano, Mondher Sahli, Neelu Seetaram, Serena Volo

Annals of Tourism Research

2021. Artikel. https://doi.org/10.1016/j.annals.2021.103197

Stochastic coherency in forecast reconciliation

Kandrika F. Pritularga, Ivan Svetunkov, Nikolaos Kourentzes

International Journal of Production Economics

2021. Artikel. https://doi.org/10.1016/j.ijpe.2021.108221

Automatic robust estimation for exponential smoothing: Perspectives from statistics and machine learning

Devon Barrow, Nikolaos Kourentzes, Rickard Sandberg, Jacek Niklewski

Expert systems with applications

2020. Artikel. https://doi.org/10.1016/j.eswa.2020.113637

Optimising forecasting models for inventory planning

Nikolaos Kourentzes, Juan R. Trapero, Devon K. Barrow

International Journal of Production Economics

2020. Artikel. https://doi.org/10.1016/j.ijpe.2019.107597

Cross-temporal aggregation: Improving the forecast accuracy of hierarchical electricity consumption

Evangelos Spiliotis, Fotios Petropoulos, Nikolaos Kourentzes, Vassilios Assimakopoulos

Applied Energy

2020. Artikel. https://doi.org/10.1016/j.apenergy.2019.114339

Cross-temporal coherent forecasts for Australian tourism

Nikolaos Kourentzes, George Athanasopoulos

Annals of Tourism Research

2019. Artikel. https://doi.org/10.1016/j.annals.2019.02.001

Another look at forecast selection and combination: Evidence from forecast pooling

Nikolaos Kourentzes, Devon Barrow, Fotios Petropoulos

International Journal of Production Economics

2019. Artikel. https://doi.org/10.1016/j.ijpe.2018.05.019

Unconstraining methods for revenue management systems under small demand

Nikolaos Kourentzes, Dong Li, Arne K. Strauss

Journal of Revenue and Pricing Management

2019. Artikel. https://doi.org/10.1057/s41272-017-0117-x

Incorporating macroeconomic leading indicators in tactical capacity planning

Yves R. Sagaert, Nikolaos Kourentzes, Stijn De Vuyst, El-Houssaine Aghezzaf, Bram Desmet

International Journal of Production Economics

2019. Artikel. https://doi.org/10.1016/j.ijpe.2018.06.016

Demand forecasting with user-generated online information

Oliver Schaer, Nikolaos Kourentzes, Robert Fildes

International Journal of Forecasting

2019. Artikel. https://doi.org/10.1016/j.ijforecast.2018.03.005

Empirical safety stock estimation based on kernel and GARCH models

Juan R. Trapero, Manuel Cardós, Nikolaos Kourentzes

Omega

2019. Artikel. https://doi.org/10.1016/j.omega.2018.05.004

Quantile forecast optimal combination to enhance safety stock estimation

Juan R. Trapero, Manuel Cardós, Nikolaos Kourentzes

International Journal of Forecasting

2019. Artikel. https://doi.org/10.1016/j.ijforecast.2018.05.009

The impact of special days in call arrivals forecasting: A neural network approach to modelling special days

Devon Barrow, Nikolaos Kourentzes

European Journal of Operational Research

2018. Artikel. https://doi.org/10.1016/j.ejor.2016.07.015

Demand Forecasting for Managers

Nikolaos Kourentzes

International Journal of Forecasting

2018. Artikel, recension. https://doi.org/10.1016/j.ijforecast.2017.06.001

Incorporating Leading Indicators into Sales Forecasts

Nikolaos Kourentzes, Yves Sagaert

Foresight: The International Journal of Applied Forecasting

2018. Artikel.

Judgmental selection of forecasting models

Fotios Petropoulos, Nikolaos Kourentzes, Konstantinos Nikolopoulos, Enno Siemsen

Journal of Operations Management

2018. Artikel. https://doi.org/10.1016/j.jom.2018.05.005 Open Access

Tactical sales forecasting using a very large set of macroeconomic indicators

Yves R. Sagaert, El-Houssaine Aghezzaf, Nikolaos Kourentzes, Bram Desmet

European Journal of Operational Research

2018. Artikel. https://doi.org/10.1016/j.ejor.2017.06.054

Temporal big data for tactical sales forecasting in the tire industry

Yves R. Sagaert, El-Houssaine Aghezzaf, Nikolaos Kourentzes, Bram Desmet

Interfaces

2018. Artikel. https://doi.org/10.1287/inte.2017.0901

Forecasting with temporal hierarchies

George Athanasopoulos, Rob. J. Hyndman, Nikolaos Kourentzes, Fotios Petropoulos

European Journal of Operational Research

2017. Artikel. https://doi.org/10.1016/j.ejor.2017.02.046

Demand forecasting by temporal aggregation: Using optimal or multiple aggregation levels?

Nikolaos Kourentzes, Bahman Rostami-Tabar, Devon K. Barrow

Journal of Business Research

2017. Artikel. https://doi.org/10.1016/j.jbusres.2017.04.016

Distributions of forecasting errors of forecast combinations: Implications for inventory management

Devon K. Barrow, Nikolaos Kourentzes

International Journal of Production Economics

2016. Artikel. https://doi.org/10.1016/j.ijpe.2016.03.017

Forecasting with multivariate temporal aggregation: The case of promotional modelling

Nikolaos Kourentzes, Fotios Petropoulos

International Journal of Production Economics

2016. Artikel. https://doi.org/10.1016/j.ijpe.2015.09.011

Commentary: Two Sides of the Same Coin

Fotios Petropoulos, Nikolaos Kourentzes

Foresight: The International Journal of Applied Forecasting

2016. Artikel.

Another look at estimators for intermittent demand

Fotios Petropoulos, Nikolaos Kourentzes, Konstantinos Nikolopoulos

International Journal of Production Economics

2016. Artikel. https://doi.org/10.1016/j.ijpe.2016.04.017

Forecast combinations for intermittent demand

Fotios Petropoulos, Nikolaos Kourentzes

Journal of the Operational Research Society

2015. Artikel. https://doi.org/10.1057/jors.2014.62

On the identification of sales forecasting models in the presence of promotions

Juan R. Trapero, Nikolaos Kourentzes, Robert Fildes

Journal of the Operational Research Society

2015. Artikel. https://doi.org/10.1057/jors.2013.174

Short-term solar irradiation forecasting based on Dynamic Harmonic Regression

Juan R. Trapero, Nikolaos Kourentzes, A. Martin

Energy

2015. Artikel. https://doi.org/10.1016/j.energy.2015.02.100

On intermittent demand model optimisation and selection

Nikolaos Kourentzes

International Journal of Production Economics

2014. Artikel. https://doi.org/10.1016/j.ijpe.2014.06.007

Neural network ensemble operators for time series forecasting

Nikolaos Kourentzes, Devon K. Barrow, Sven F. Crone

Expert systems with applications

2014. Artikel. https://doi.org/10.1016/j.eswa.2013.12.011

Improving forecasting by estimating time series structural components across multiple frequencies

Nikolaos Kourentzes, Fotios Petropoulos, Juan R. Trapero

International Journal of Forecasting

2014. Artikel. https://doi.org/10.1016/j.ijforecast.2013.09.006

Improving Forecasting via Multiple Temporal Aggregation

Fotios Petropoulos, Nikolaos Kourentzes

Foresight: The International Journal of Applied Forecasting

2014. Artikel.

Impact of demand nature on the bullwhip effect: Bridging the gap between theoretical and empirical research

Juan R. Trapero, Fausto. P. García, Nikolaos Kourentzes

Proceedings of the Seventh International Conference on Management Science and Engineering Management

2014. Konferensbidrag. https://doi.org/10.1007/978-3-642-40081-0_95

Intermittent demand forecasts with neural networks

Nikolaos Kourentzes

International Journal of Production Economics

2013. Artikel. https://doi.org/10.1016/j.ijpe.2013.01.009

Analysis of judgmental adjustments in the presence of promotions

Juan R. Trapero, Diego. J. Pedregal, R. Fildes, Nikolaos Kourentzes

International Journal of Forecasting

2013. Artikel. https://doi.org/10.1016/j.ijforecast.2012.10.002

Impact of information exchange on supplier forecasting performance

Juan R. Trapero, Nikolaos Kourentzes, R. Fildes

Omega

2012. Artikel. https://doi.org/10.1016/j.omega.2011.08.009

Validation and forecasting accuracy in models of climate change

Robert Fildes, Nikolaos Kourentzes

International Journal of Forecasting

2011. Artikel. https://doi.org/10.1016/j.ijforecast.2011.03.008

Feature selection for time series prediction: A combined filter and wrapper approach for neural networks

Sven F. Crone, Nikolaos Kourentzes

Neurocomputing

2010. Artikel. https://doi.org/10.1016/j.neucom.2010.01.017

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