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SUMMARY:Semi-Parametric Models for Electricity Consumption Forecasting - G
 oude\, Y (EDF\, France)
DTSTART:20130422T134500Z
DTEND:20130422T141500Z
UID:TALK44721@talks.cam.ac.uk
CONTACT:Mustapha Amrani
DESCRIPTION:Electricity load forecasting faces rising challenges due to th
 e advent of innovating technologies such as smart grids\, electric cars an
 d renewable energy production. For utilities\, a good knowledge of the fut
 ure electricity consumption stands as a central point for the reliability 
 of the network\, investment strategies\, energy trading\, optimizing the p
 roduction etc. 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 dif
 ferent data sets thanks to their semi-parametric structures. We apply GAM 
 models on different data sets corresponding to different practical applica
 tions at EDF and show how these models can be used for real forecasts at d
 ifferent horizon and geographical scale.\n
LOCATION:Seminar Room 1\, Newton Institute
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