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Professor Nikos Kourentzes

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 Unpublished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    Athanasopoulos, G., Hyndman, R. J., Kourentzes, N. & Petropoulos, F., 2015, (Unpublished) Lancaster: Department of Management Science, Lancaster University, 26 p.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

  2. 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

  3. Published

    Forecast reconciliation: A review

    Athanasopoulos, G., Hyndman, R. J., Kourentzes, N. & Panagiotelis, A., 30/04/2024, In: International Journal of Forecasting. 40, 2, p. 430-456 27 p.

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

  4. Published

    An Evaluation of Neural Network Ensembles and Model Selection for Time Series Prediction

    Barrow, D. K., Crone, S. F. & Kourentzes, N., 2010, The 2010 International Joint Conference on Neural Networks (IJCNN). New York: IEEE, p. 1-8 8 p.

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

  5. Published

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

    Barrow, D. K. & Kourentzes, N., 07/2016, In: International Journal of Production Economics. 177, p. 24-33 10 p.

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

  6. Published

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

    Barrow, D. K. & Kourentzes, N., 1/02/2018, In: European Journal of Operational Research. 264, 3, p. 967-977 11 p.

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

  7. Published

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

    Barrow, D., Kourentzes, N., Sandberg, R. & Niklewski, J., 1/12/2020, In: Expert Systems with Applications. 160, 14 p., 113637.

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

  8. 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

  9. Published

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

    Crone, S. F. & Kourentzes, N., 06/2010, In: Neurocomputing. 73, 10-12, p. 1923-1936 14 p.

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

  10. 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

  11. 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

  12. Published

    The impact of preprocessing on forecasting electrical load: an empirical evaluation of segmenting time series into subseries

    Crone, S. F. & Kourentzes, N., 2011, The 2011 International Joint Conference on Neural Networks (IJCNN). New York: IEEE, p. 3285-3292 8 p.

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

  13. 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

  14. 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

  15. Published

    Validation in models of climate change and forecasting accuracy

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

    Research output: Working paper

  16. Published

    Validation and forecasting accuracy in models of climate change

    Fildes, R. & Kourentzes, N., 10/2011, In: International Journal of Forecasting. 27, 4, p. 968-995 28 p.

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

  17. Published

    Validation and forecasting accuracy in models of climate change: Postscript

    Fildes, R. & Kourentzes, N., 10/2011, In: International Journal of Forecasting. 27, 4, p. 1004-1005 2 p.

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

  18. Published

    Automatic modelling of neural networks for time series prediction - in search of a uniform methodology across varying time frequencies

    Kourentzes, N. & Crone, S., 2008, 2nd European Symposium on Time Series Prediction (Helsinki) - 2008. N/A: unknown

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

  19. 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

  20. Published

    Advances in forecasting with artificial neural networks

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

    Research output: Working paper

  21. Published

    Semi-supervised monitoring of electric load time series for unusual patterns

    Kourentzes, N. & Crone, S. F., 2011, The 2011 International Joint Conference on Neural Networks (IJCNN). New York: IEEE, p. 2852-2859 8 p.

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

  22. 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

  23. Published

    Data driven fitting sample selection for time series forecasting with neural networks

    Kourentzes, N., 2012, The 2012 International Joint Conference on Neural Networks (IJCNN). IEEE, 8 p.

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

  24. 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

  25. 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

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