Transfer Learning in the Field of Renewable Energies - A Transfer Learning Framework Providing Power Forecasts Throughout the Lifecycle of Wind Farms After Initial Connection to the Electrical Grid.
J. Schreiber. Organic Computing - Doctoral Dissertation Colloquium 2018, Kassel university press, (2019)
%0 Book Section
%1 Sch19
%A Schreiber, Jens
%B Organic Computing - Doctoral Dissertation Colloquium 2018
%D 2019
%E Tomforde, Sven
%E Sick, Bernhard
%I Kassel university press
%K itegpub
%P 75-87
%T Transfer Learning in the Field of Renewable Energies - A Transfer Learning Framework Providing Power Forecasts Throughout the Lifecycle of Wind Farms After Initial Connection to the Electrical Grid.
@incollection{Sch19,
added-at = {2020-06-23T08:31:01.000+0200},
author = {Schreiber, Jens},
biburl = {https://www.bibsonomy.org/bibtex/22671c1a54c21d7fd1fcc06d58a94be26/iteg-basis},
booktitle = {Organic Computing - Doctoral Dissertation Colloquium 2018},
editor = {Tomforde, Sven and Sick, Bernhard},
interhash = {256e7c8c43306422a34fa259bc763cec},
intrahash = {2671c1a54c21d7fd1fcc06d58a94be26},
keywords = {itegpub},
pages = {75-87},
publisher = {Kassel university press},
timestamp = {2020-06-23T08:32:07.000+0200},
title = {Transfer Learning in the Field of Renewable Energies - A Transfer Learning Framework Providing Power Forecasts Throughout the Lifecycle of Wind Farms After Initial Connection to the Electrical Grid.},
year = 2019
}
