Data Driven Fitting Sample Selection For Time Series Forecasting With Neural Networks
N. Kourentzes, 2012, International Joint Conference on Neural Networks, Brisbane, 10-15 June 2012.
Category Archives: Refereed conference proceedings
Modelling functional outliers for high frequency time series forecasting with neural networks: an empirical evaluation for electricity load data
N. Kourentzes, 2011, International Conference on Data Mining, DMIN’2011, Las Vegas, 18-21 July 2011.
Segmenting electrical load time series for forecasting? An empirical evaluation of daily UK load patterns
S. F. Crone and N. Kourentzes, 2011, International Joint Conference on Neural Networks, San Jose, 31-05 August 2011.
Semi-supervised monitoring of electric load time series for unusual patterns
N. Kourentzes and S. F. Crone, 2011, International Joint Conference on Neural Networks, San Jose, 31-05 August 2011.
Inference for Neural Network Predictive Models with Impulse Interventions
N. Kourentzes and S. F. Crone, 2010, Proceedings of the 2010 International Conference on Data Mining, DMIN’10, Las Vegas, USA, CSREA.
Frequency independent automatic input variable selection for neural networks for forecasting
N. Kourentzes and S. F. Crone, 2010, International Joint Conference on Neural Networks, Barcelona Spain, 18-23 July 2010.
Input-variable specification for neural networks – an analysis of forecasting low and high time series frequency
S. F. Crone and N. Kourentzes, 2009, IJCNN’09, Atlanta, USA, IEEE: New York, pp. 3221-3228.
Forecasting high-frequency time series with Neural Networks – an analysis of modelling challenges from increasing data frequency
S. F. Crone and N. Kourentzes, 2008, Proceedings of the International Conference on Data Mining, DMIN’08, Las Vegas, USA, CSREA, pp.37-42.
Automatic modelling of neural networks for time series prediction – in search of a uniform methodology across varying time frequencies
N. Kourentzes and S. F. Crone, 2008, Proceedings of the 2nd European Symposium on Time Series Prediction, ESTSP’08, Helsinki, Finland.
Input variable selection for time series prediction with neural networks-an evaluation of visual, autocorrelation and spectral analysis for varying seasonality
S. F. Crone and N. Kourentzes, 2007, Proceedings of the 1st European Symposium on Time Series Prediction, ESTSP’07, Helsinki, Finland.