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Research Output 2010 2017

  • 6 Conference Paper
  • 6 Article
  • 1 Chapter (Book)
  • 1 Review Article
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Article
2016

A bias and variance analysis for multistep-ahead time series forecasting

Ben Taieb, S. & Atiya, A. F., 1 Jan 2016, In : IEEE Transactions on Neural Networks and Learning Systems. 27, 1, p. 62-76 15 p., 7064712.

Research output: Contribution to journalArticleResearchpeer-review

Forecasting uncertainty in electricity smart meter data by boosting additive quantile regression

Ben Taieb, S., Huser, R., Hyndman, R. J. & Genton, M. G., 1 Sep 2016, In : IEEE Transactions on Smart Grid. 7, 5, p. 2448-2455 8 p., 7423794.

Research output: Contribution to journalArticleResearchpeer-review

2014

A gradient boosting approach to the Kaggle load forecasting competition

Ben Taieb, S. & Hyndman, R. J., 2014, In : International Journal of Forecasting. 30, 2, p. 382 - 394 13 p.

Research output: Contribution to journalArticleResearchpeer-review

2012

Adaptive local learning techniques for multiple-step-ahead wind speed forecasting

Vaccaro, A., Bontempi, G., Ben Taieb, S. & Villacci, D., Feb 2012, In : Electric Power Systems Research. 83, 1, p. 129-135 7 p.

Research output: Contribution to journalArticleResearchpeer-review

2011

Conditionally dependent strategies for multiple-step-ahead prediction in local learning

Bontempi, G. & Ben Taieb, S., Jul 2011, In : International Journal of Forecasting. 27, 3, p. 689-699 11 p.

Research output: Contribution to journalArticleResearchpeer-review

2010

Multiple-output modeling for multi-step-ahead time series forecasting

Ben Taieb, S., Sorjamaa, A. & Bontempi, G., Jun 2010, In : Neurocomputing. 73, 10-12, p. 1950-1957 8 p.

Research output: Contribution to journalArticleResearchpeer-review