Zobrazeno 1 - 4 of 4 pro vyhledávání: '"Daan R. Scheepens"'
1
Adapting a deep convolutional RNN model with imbalanced regression loss for improved spatio-temporal forecasting of extreme wind speed events in the short to medium range
Autor: Daan R. Scheepens, Irene Schicker, Kateřina Hlaváčková-Schindler, Claudia Plant
The number of wind farms and amount of wind power production in Europe, both on- and offshore, have increased rapidly in the past years. To ensure grid stability and on-time (re)scheduling of maintenance tasks and to mitigate fees in energy trading,
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a54e279ada319032655d212a4a7e0215
https://doi.org/10.5194/gmd-16-251-2023
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3
An adapted deep convolutional RNN model for spatio-temporal prediction of wind speed extremes in the short-to-medium range for wind energy applications
Autor: Daan R. Scheepens, Irene Schicker, Kateřina Hlaváčková-Schindler, Claudia Plant
The amount of wind farms and wind power production in Europe, both on- and off-shore, has increased rapidly in the past years. To ensure grid stability, on-time (re)scheduling of maintenance tasks and mitigate fees in energy trading, accurate predict
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::f33448246f18a3ee36308975f95ff39b
https://doi.org/10.5194/egusphere-2022-599
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4
Akademický článek
Adapting a deep convolutional RNN model with imbalanced regression loss for improved spatio-temporal forecasting of extreme wind speed events in the short to medium range.
Autor: Scheepens, Daan R.1 (AUTHOR) d.r.scheepens@gmail.com, Schicker, Irene2 (AUTHOR) irene.schicker@zamg.ac.at, Hlaváčková-Schindler, Kateřina1 (AUTHOR) katerina.schindlerova@univie.ac.at, Plant, Claudia1 (AUTHOR)
Publikováno v: Geoscientific Model Development. 2023, Vol. 16 Issue 1, p251-270. 20p.
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