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Wind power prediction errors of a shortest-term forecast of the total German wind power generation

: Dobschinski, J.; Wessel, A.; Lange, B.

Fulltext urn:nbn:de:0011-n-4050513 (265 KByte PDF)
MD5 Fingerprint: 987a26d793b19bf200280d56eef706fc
Created on: 2.8.2016

European Academy of Wind Energy -EAWE-:
5th PhD Seminar on Wind Energy in Europe 2009. Book of Abstracts : 30th September and 1st October, Durham University, UK
Durham, 2009
PhD Seminar on Wind Energy in Europe <5, 2009, Durham>
Conference Paper, Electronic Publication
Fraunhofer IWES ()
wind power forecasting; shortest-term forecasts; reduction of extreme forecast errors; wind power induced reserve requirements

In electricity systems with large penetration of wind power, the limited predictability of the wind power generation leads to an increase in reserve requirements. The present study concentrates on the reduction of large forecast errors of the German wind power generation by using advanced shortest-term predictions. The aim is to estimate the maximum remaining uncertainty after latest possible trading on the intraday market.