9
AI Solar Energy Prediction Contest

- Indicates paper has been withdrawn from meeting
- Indicates an Award Winner
Wednesday, 5 February 2014: 1:30 PM-2:30 PM
Room C204 (The Georgia World Congress Center )
Hosts: (Joint between the 12th Conference on Artificial and Computational Intelligence and its Applications to the Environmental Sciences; the 22nd Conference on Probability and Statistics in the Atmospheric Sciences; and the Fifth Conference on Weather, Climate, and the New Energy Economy )
Cochairs:  David John Gagne II, Research Applications Lab, National Center for Atmospheric Research, Boulder, CO and Amy McGovern, School of Computer Science, Univ. of Oklahoma, Norman, OK
Papers:
  1:30 PM
Introductory Remarks

  1:45 PM
9.1
Forecasting Daily Solar Energy Production Using Robust Regression Techniques
Gilles Louppe, University of Liège, Liège, Belgium; and P. Prettenhofer
Recorded Presentation

  2:00 PM
9.2
A gradient boosting approach for the short term prediction of solar energy production (AMS 2013-2014 Solar Energy Prediction Contest)
Benjamin Lazorthes, BLIA Solutions, Toulouse, France
Recorded Presentation

  2:15 PM
9.3
A Blending Approach to Solar Energy Prediction
Lucas Eustaquio Gomes da Silva, Belo Horizonte , Brazil; and G. Titericz Jr.
Recorded Presentation

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