Unpublished working papers


  • Xiaochun Meng, James W. Taylor, Souhaib Ben Taieb, Siran Li (2021) Scoring Functions for Multivariate Distributions and Level Sets. Abstract  pdf

Published articles


  • Cameron Roach, Rob J Hyndman, Souhaib Ben Taieb (2021) Nonlinear mixed effects models for time series forecasting of smart meter demand. Journal of Forecasting, to appear. Abstract  pdf
  • Chiara Di , Modica Pierre Pinson, Souhaib Ben Taieb (2021) Online forecast reconciliation in wind power prediction. Electric Power Systems Research, Volume 190, 2021. Abstract DOI


  • Souhaib Ben Taieb, James W Taylor, Rob J Hyndman (2020) Hierarchical Probabilistic Forecasting of Electricity Demand with Smart Meter Data. J. American Statistical Association, 6(0), 1-17. Abstract DOI  pdf


  • D Vicendese, L Te Marvelde, PD McNair, K Whitfield, DR English, S Ben Taieb, RJ Hyndman, R Thomas (2019) Hospital characteristics, rather than surgical volume, predict length of stay following colorectal cancer surgery. Australian and New Zealand Journal of Public Health, 44: 73-82. Abstract DOI
  • Souhaib Ben Taieb and Bonsoo Koo (2019) Regularized regression for hierarchical forecasting without unbiasdness conditions. Proceedings of Knowledge Discovery and Data Mining (KDD), 2019.. Abstract Online  pdf


  • Souhaib Ben Taieb, James W Taylor, Rob J Hyndman (2017) Coherent Probabilistic Forecasts for Hierarchical Time Series. Proceedings of the 34th International Conference on Machine Learning, PMLR 70:3348-3357. Abstract Online  pdf
  • Souhaib Ben Taieb, Jiafan Yu, Mateus Neves Barreto and Ram Rajagopal (2017) Regularization in Hierarchical Time Series Forecasting With Application to Electricity Smart Meter Data. Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence. AAAI Press, 2017.. Abstract Online  pdf
  • Souhaib Ben Taieb (2017) Sparse and Smooth Adjustments for Coherent Forecasts in Temporal Aggregation of Time Series. NIPS 2016 Time Series Workshop, JMLR W&CP Vol. 55, 2017.. Abstract Online  pdf


  • Souhaib Ben Taieb, Raphael Huser, Rob J Hyndman and Marc G Genton (2016) Forecasting uncertainty in electricity smart meter data by boosting additive quantile regression. IEEE Transactions on Smart Grid 7(5), 2448-2455. Abstract DOI  pdf
  • Souhaib Ben Taieb and Amir F. Atiya (2016) A Bias and Variance Analysis for Multistep-Ahead Time Series Forecasting. IEEE Transactions on Neural Networks and Learning Systems, vol. 27, no. 1, pp. 62-76, 2016. Abstract Online  pdf


  • Souhaib Ben Taieb (2014) Machine learning strategies for multi-step-ahead time series forecasting. PhD thesis, Free University of Brussels. Abstract  pdf
  • Souhaib Ben Taieb, Rob J Hyndman (2014) A gradient boosting approach to the Kaggle load forecasting competition. International Journal of Forecasting 30(2), 382–394. Abstract DOI  pdf
  • Souhaib Ben Taieb, Rob J Hyndman (2014) Boosting multi-step autoregressive forecasts. Proceedings of the International Conference on Machine Learning (ICML), Beijing, China. Abstract  pdf


  • Liran Lerman, Gianluca Bontempi, Souhaib Ben Taieb and Olivier Markowitch (2013) A Time Series Approach for Profiling Attack. Lecture Notes in Computer Science, Volume 8204, 75-94, 2013. Abstract Online
  • Gianluca Bontempi, Souhaib Ben Taieb and Y.-A. Le Borgne (2013) Machine Learning Strategies for Time Series Forecasting. Business Intelligence, Vol. 138. Springer, pp.62–77, 2013.. Abstract Online


  • Souhaib Ben Taieb, Gianluca Bontempi, Amir F. Atiya and Antti Sorjamaa (2012) A review and comparison of strategies for multi-step ahead time series forecasting based on the NN5 forecasting competition. Expert Systems with Applications, 39(8):7067–7083, 2012.. Abstract Online
  • Alfredo Vaccaro, Gianluca Bontempi, Souhaib Ben Taieb and Domenico Villacci (2012) Adaptive local learning techniques for multiple-step-ahead wind speed forecasting. Electric Power Systems Research, 83(1):129–135, 2012.. Abstract Online


  • Souhaib Ben Taieb and Gianluca Bontempi (2011) Recursive Multi-step Time Series Forecasting by Perturbing Data. IEEE International Conference on Data Mining (ICDM), December, 2011.. Abstract Online
  • Alfredo Vaccaro, Gianluca Bontempi, Souhaib Ben Taieb and Domenico Villacci (2011) Conditionally dependent strategies for multiple-step-ahead prediction in local learning. International Journal of Forecasting, 27(3):689–699, 2011.. Abstract Online


  • Souhaib Ben Taieb, Antti Sorjamaa and Gianluca Bontempi (2010) Multiple-output modeling for multi-step-ahead time series forecasting. Neurocomputing, 73(10-12):1950–1957, 2010.. Abstract Online


  • Souhaib Ben Taieb, Gianluca Bontempi, Antti Sorjamaa and Amaury Lendasse (2009) Long-Term Prediction of Time Series by combining Direct and MIMO Strategies. IEEE International Joint Conference on Neural Networks (IJCNN), 2009.. Abstract Online