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Professor Nikos Kourentzes

Professor

  1. 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/ISSNConference contribution/Paperpeer-review

  2. 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/ISSNConference contribution/Paperpeer-review

  3. 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/ISSNConference contribution/Paperpeer-review

  4. 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/ISSNConference contribution/Paperpeer-review

  5. 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/ISSNConference contribution/Paperpeer-review

  6. 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/MagazineJournal articlepeer-review

  7. 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/MagazineJournal articlepeer-review

  8. 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/MagazineJournal articlepeer-review

  9. 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

  10. 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/MagazineJournal articlepeer-review

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