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Professor Nikos Kourentzes

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  1. Published

    Forecasting: theory and practice

    Petropoulos, F., Apiletti, D., Assimakopoulos, V., Babai, M. Z., Barrow, D. K., Ben Taieb, S., Bergmeir, C., Bessa, R. J., Bijak, J., Boylan, J. E., Browell, J., Carnevale, C., Castle, J. L., Cirillo, P., Clements, M. P., Cordeiro, C., Cyrino Oliveira, F. L., De Baets, S., Dokumentov, A., Ellison, J., & 60 othersFiszeder, P., Franses, P. H., Frazier, D. T., Gilliland, M., Gönül, M. S., Goodwin, P., Grossi, L., Grushka-Cockayne, Y., Guidolin, M., Guidolin, M., Gunter, U., Guo, X., Guseo, R., Harvey, N., Hendry, D. F., Hollyman, R., Januschowski, T., Jeon, J., Jose, V. R. R., Kang, Y., Koehler, A. B., Kolassa, S., Kourentzes, N., Leva, S., Li, F., Litsiou, K., Makridakis, S., Martin, G. M., Martinez, A. B., Meeran, S., Modis, T., Nikolopoulos, K., Önkal, D., Paccagnini, A., Panagiotelis, A., Panapakidis, I., Pavía, J. M., Pedio, M., Pedregal, D. J., Pinson, P., Ramos, P., Rapach, D. E., Reade, J. J., Rostami-Tabar, B., Rubaszek, M., Sermpinis, G., Shang, H. L., Spiliotis, E., Syntetos, A. A., Talagala, P. D., Talagala, T. S., Tashman, L., Thomakos, D., Thorarinsdottir, T., Todini, E., Trapero Arenas, J. R., Wang, X., Winkler, R. L., Yusupova, A. & Ziel, F., 1/07/2022, In: International Journal of Forecasting. 38, 3, p. 705-871 167 p.

    Research output: Contribution to Journal/Magazine › Journal article › peer-review

  2. Published

    Forecasting high-frequency time series with neural networks - an analysis of modelling challenges from increasing data frequency

    Crone, S. & Kourentzes, N., 2008, International Conference on Data Mining (Las Vegas) - 2008. Stahlbock, R., Crone, S. F. & Lessmann, S. (eds.). CSREA Press

    Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSN › Conference contribution/Paper › peer-review

  3. Published

    Forecasting Seasonal Sales with Many Drivers: Shrinkage or Dimensionality Reduction?

    Ramos, P., Oliveira, J. M., Kourentzes, N. & Fildes, R., 26/12/2022, In: Applied System Innovation. 6, 1, 3.

    Research output: Contribution to Journal/Magazine › Journal article › peer-review

  4. Published

    Forecasting seasonal time series with multilayer perceptrons - an empirical evaluation of input vector specifications for deterministic seasonality

    Crone, S. & Kourentzes, N., 2009, Proceedings of The 2009 International Conference on Data Mining, DMIN 2009, July 13-16, 2009, Las Vegas, USA. . Stahlbock, R., Crone, S. F. & Lessmann, S. (eds.). CSREA Press, p. 232-238 7 p.

    Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSN › Conference contribution/Paper › peer-review

  5. Published

    Forecasting with multivariate temporal aggregation: the case of promotional modelling

    Kourentzes, N. & Petropoulos, F., 11/2016, In: International Journal of Production Economics. 181, Part A, p. 145-153 9 p.

    Research output: Contribution to Journal/Magazine › Journal article › peer-review

  6. Published

    Forecasting with temporal hierarchies

    Athanasopoulos, G., Hyndman, R. J., Kourentzes, N. & Petropoulos, F., 1/10/2017, In: European Journal of Operational Research. 262, 1, p. 60-74 15 p.

    Research output: Contribution to Journal/Magazine › Journal article › peer-review

  7. Unpublished

    Forecasting with Temporal Hierarchies

    Athanasopoulos, G., Hyndman, R. J., Kourentzes, N. & Petropoulos, F., 2015, (Unpublished) Lancaster: Department of Management Science, Lancaster University, 26 p.

    Research output: Working paper

  8. Published

    Frequency independent automatic input variable selection for neural networks for forecasting

    Kourentzes, N. & Crone, S. F., 2010, The 2010 International Joint Conference on Neural Networks (IJCNN) . New York: IEEE, p. - 8 p.

    Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSN › Conference contribution/Paper › peer-review

  9. Published

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

    Trapero, J. R., Garcia, F. P. & Kourentzes, N., 2014, Proceedings of the Seventh International Conference on Management Science and Engineering Management.. Xu, J., Fry, J. A., Lev, B. & Hajiyev, A. (eds.). Berlin: Springer Verlag, p. 1127-1137 11 p. (Lecture Notes in Electrical Engineering; vol. 242).

    Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSN › Chapter (peer-reviewed)

  10. Published

    Impact of Information Exchange on Supplier Forecasting Performance

    Trapero Arenas, J. R., Kourentzes, N. & Fildes, R. A., 2010, Lancaster University: The Department of Management Science, (Management Science Working Paper Series).

    Research output: Working paper

  11. Published

    Impact of Information Exchange on Supplier Forecasting Performance

    Trapero Arenas, J., Kourentzes, N. & Fildes, R., 12/2012, In: Omega: The International Journal of Management Science. 40, 6, p. 738-747 10 p.

    Research output: Contribution to Journal/Magazine › Journal article › peer-review

  12. Published

    Improving forecasting by estimating time series structural components across multiple frequencies

    Kourentzes, N., Petropoulos, F. & Trapero, J. R., 04/2014, In: International Journal of Forecasting. 30, 2, p. 291-302 12 p.

    Research output: Contribution to Journal/Magazine › Journal article › peer-review

  13. Published

    Improving forecasting via multiple temporal aggregation

    Petropoulos, F. & Kourentzes, N., 2014, In: Foresight: The International Journal of Applied Forecasting. 2014, 34, p. 12-17 6 p.

    Research output: Contribution to Journal/Magazine › Journal article › peer-review

  14. Published

    Incorporating macroeconomic leading indicators in tactical capacity planning

    Sagaert, Y. R., Kourentzes, N., De Vuyst, S., Aghezzaf, E-H. & Desmet, B., 1/03/2019, In: International Journal of Production Economics. 209, p. 12-19 8 p.

    Research output: Contribution to Journal/Magazine › Journal article › peer-review

  15. Published

    Inference for Neural Network Predictive Models with Impulse Interventions

    Kourentzes, N. & Crone, S., 2010, International Conference on Data Mining (Las Vegas) - 2010. Stahlbock, R., Crone, S. F., Abou-Nasr, M., Arabnia, H. R., Kourentzes, N., Lenca, P., Lippe, W-M. & Weiss, G. M. (eds.). CSREA Press, p. 273-279 7 p.

    Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSN › Conference contribution/Paper › peer-review

  16. Unpublished

    Input variable selection for time series forecasting with artificial neural networks: an empirical evaluation across varying time series frequencies

    Kourentzes, N., 20/11/2009, (Unpublished) Lancaster University. 238 p.

    Research output: Thesis › Doctoral Thesis

  17. Published

    Input variable selection for time series prediction with neural networks- an evaluation of visual, autocorrelation and spectral analysis for varying seasonality

    Crone, S. & Kourentzes, N., 2007, The 1st European Symposium on Time Series Prediction, ESTSP'07 (Helsinki, Finland) - 2007. N/A: unknown

    Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSN › Conference contribution/Paper › peer-review

  18. Published

    Input-variable Specification for Neural Networks - an Analysis of Forecasting low and high Time Series Frequency

    Crone, S. F. & Kourentzes, N., 2009, International Joint Conference on Neural Networks, 2009. IJCNN 2009.. New York: IEEE, p. 3221-3228 8 p.

    Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSN › Conference contribution/Paper › peer-review

  19. Published

    Intermittent demand forecasts with neural networks

    Kourentzes, N., 05/2013, In: International Journal of Production Economics. 143, 1, p. 198-206 9 p.

    Research output: Contribution to Journal/Magazine › Journal article › peer-review

  20. Published

    Judgmental Selection of Forecasting Models

    Petropoulos, F., Kourentzes, N., Nikolopoulos, K. & Siemsen, E., 2018, In: Journal of Operations Management. 60, p. 34-46 13 p.

    Research output: Contribution to Journal/Magazine › Journal article › peer-review

  21. Published

    Modelling Deterministic Seasonality with Artificial Neural Networks for Time Series Forecasting

    Kourentzes, N. & Crone, S., 2010, Lancaster University: The Department of Management Science, (Management Science Working Paper Series).

    Research output: Working paper

  22. Published

    Modelling functional outliers for high frequency time series forecasting with neural networks: an empirical evaluation for electricity load data

    Kourentzes, N., 2011, Proceedings of the 2011 International Conference on Data Mining. Stahlbock, R. (ed.). CSREA Press, p. 313-319 7 p.

    Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSN › Conference contribution/Paper › peer-review

  23. E-pub ahead of print

    Multi-step Estimators and Shrinkage Effect in Time Series Models

    Svetunkov, I., Kourentzes, N. & Killick, R., 24/06/2023, (E-pub ahead of print) In: Computational Statistics.

    Research output: Contribution to Journal/Magazine › Journal article › peer-review

  24. Published

    Naive Support Vector Regression and Multilayer Perceptron Benchmarks for the 2010 Neural Network Grand Competition (NNGC) on Time Series Prediction

    Crone, S. F. & Kourentzes, N., 2010, The 2010 International Joint Conference on Neural Networks (IJCNN). New York: IEEE, p. - 8 p.

    Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSN › Conference contribution/Paper › peer-review

  25. Published

    Neural network ensemble operators for time series forecasting

    Kourentzes, N., Barrow, D. & Crone, S., 07/2014, In: Expert Systems with Applications. 41, 9, p. 4235-4244 10 p.

    Research output: Contribution to Journal/Magazine › Journal article › peer-review

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