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.
Tag Archives: variable selection
Feature selection for time series prediction – A combined filter and wrapper approach for neural networks
S. F. Crone and N. Kourentzes, 2010, Neurocomputing, 73: 1923-1936. http://dx.doi.org/10.1016/j.neucom.2010.01.017
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.
Evaluation of input variable selection methodologies for multilayer perceptrons for high frequency time series
N. Kourentzes and S. F. Crone, 2009, The 29th Annual international Symposium on Forecasting, Hong Kong.
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.