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Abstract Details
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Activity Number:
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566
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Type:
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Contributed
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Date/Time:
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Wednesday, August 1, 2012 : 2:00 PM to 3:50 PM
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Sponsor:
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Section on Nonparametric Statistics
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| Abstract - #306210 |
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Title:
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GAM Models for Electricity Consumption Forecasts
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Author(s):
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Yannig Goude*+ and Amandine Pierrot and Audrey Pichavant
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Companies:
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EDF France and EDF R&D and EDF R&D
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Address:
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, , , France
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Keywords:
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electricity ;
forecasting ;
GAM
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Abstract:
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Generalized Additive Models have been investigated recently to forecasts electricity consumptions at EDF R&D. These models achieve an interesting trade-off between accuracy of forecasts and adaptation to different data sets thanks to their semi-parametric structures. We apply GAM models on different data sets corresponding to different practical applications at EDF and show how these models can be used for real forecasts. At different horizon (from intra-day forecasts to one year ahead forecasts).
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