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, Kassel, Germany, (2019)
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%0 Book Section
%1 schreiber2019transfer
%A Schreiber, Jens
%B Organic Computing -- Doctoral Dissertation Colloquium 2018
%C Kassel, Germany
%D 2019
%E Tomforde, S.
%E Sick, B.
%I kassel university press
%K imported
%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{schreiber2019transfer,
added-at = {2022-01-07T10:37:59.000+0100},
address = {Kassel, Germany},
author = {Schreiber, Jens},
biburl = {https://www.bibsonomy.org/bibtex/29724949d5a0892079e6451191ffd4aa4/ies},
booktitle = {Organic Computing -- Doctoral Dissertation Colloquium 2018},
editor = {Tomforde, S. and Sick, B.},
interhash = {256e7c8c43306422a34fa259bc763cec},
intrahash = {9724949d5a0892079e6451191ffd4aa4},
keywords = {imported},
pages = {75--87},
publisher = {kassel university press},
timestamp = {2022-01-07T10:37:59.000+0100},
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
}