Neural network ensemble operators for time series forecastingNikolaos Kourentzes, Devon K. Barrow, Sven F. Crone2014-01-11articleExpert Systems with Applications292 citationsgreenNo readable copy stored yet — this record is metadata only.Forecasting Techniques and ApplicationsNeural Networks and ApplicationsTime Series Analysis and ForecastingAbstractNo abstract was published for this record.Citations in this libraryStored only when both papers are in the corpus — 292 citations exist upstream.References2006Another look at measures of forecast accuracy1998Forecasting with artificial neural networks:1969The Combination of Forecasts2000The M3-Competition: results, conclusions and implications1982The accuracy of extrapolation (time series) methods: Results of a forecasting competition2004Combination forecasts of output growth in a seven‐country data set2002A state space framework for automatic forecasting using exponential smoothing methods2000Out-of-sample tests of forecasting accuracy: an analysis and reviewCited by2022Forecast combinations: An over 50-year review2017Forecasting with temporal hierarchies2019An intelligent hybridization of ARIMA with machine learning models for time series forecasting2020Daily retail demand forecasting using machine learning with emphasis on calendric special days2019Long-term forecast of energy commodities price using machine learning2018Optimal Forecast Combination Based on Neural Networks for Time Series Forecasting2022A survey on machine learning models for financial time series forecasting2022Statistical, machine learning and deep learning forecasting methods: Comparisons and ways forward