Investigating the accuracy of cross-learning time series forecasting methods

Forecasting the novel coronavirus COVID-19

(2020) Fotios Petropoulos et al.   PLoS One

Forecasting for big data: Does suboptimality matter?

(2018) Konstantinos Nikolopoulos et al.   COMPUTERS & OPERATIONS RESEARCH

Deep learning with long short-term memory networks for financial market predictions

(2018) Thomas Fischer et al.   EUROPEAN JOURNAL OF OPERATIONAL RESEARCH

Bag of recurrence patterns representation for time-series classification

(2018) Nima Hatami et al.   PATTERN ANALYSIS AND APPLICATIONS

Statistical and Machine Learning forecasting methods: Concerns and ways forward

(2018) Spyros Makridakis et al.   PLoS One

Artificial neural network model for forecasting sub-hourly electricity usage in commercial buildings

(2016) Young Tae Chae et al.   ENERGY AND BUILDINGS

‘Horses for Courses’ in demand forecasting

(2014) Fotios Petropoulos et al.   EUROPEAN JOURNAL OF OPERATIONAL RESEARCH

Neural network ensemble operators for time series forecasting

(2014) Nikolaos Kourentzes et al.   EXPERT SYSTEMS WITH APPLICATIONS

Selecting rows and columns for training support vector regression models with large retail datasets

(2012) Özden Gür Ali et al.   EUROPEAN JOURNAL OF OPERATIONAL RESEARCH

An Empirical Comparison of Machine Learning Models for Time Series Forecasting

(2010) Nesreen K. Ahmed et al.   Econometric Reviews

Meta-learning for time series forecasting and forecast combination

(2010) Christiane Lemke et al.   NEUROCOMPUTING

Rule induction for forecasting method selection: Meta-learning the characteristics of univariate time series

(2008) Xiaozhe Wang et al.   NEUROCOMPUTING