Engineering models and data science for wind energy:
Gespeichert in:
| 1. Verfasser: | |
|---|---|
| Format: | Abschlussarbeit Buch |
| Sprache: | English |
| Veröffentlicht: |
Berlin
2020
|
| Schlagworte: | |
| Online-Zugang: | kostenfrei |
| Beschreibung: | Enthält außerdem 3 Sonderabbdrucke aus verschiedenen Zeitschriften |
| Beschreibung: | III, 162 Seiten Illustrationen, Diagramme |
| DOI: | 10.14279/depositonce-10356 |
Internformat
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| 100 | 1 | |a Lennie, Matthew |e Verfasser |0 (DE-588)1220043117 |4 aut | |
| 245 | 1 | 0 | |a Engineering models and data science for wind energy |c vorgelegt von M.Sc. M.Eng. Matthew Lennie |
| 264 | 1 | |a Berlin |c 2020 | |
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Datensatz im Suchindex
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| illustrated | Illustrated |
| index_date | 2024-07-03T15:42:07Z |
| indexdate | 2024-07-10T08:58:29Z |
| institution | BVB |
| language | English |
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| physical | III, 162 Seiten Illustrationen, Diagramme |
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| spelling | Lennie, Matthew Verfasser (DE-588)1220043117 aut Engineering models and data science for wind energy vorgelegt von M.Sc. M.Eng. Matthew Lennie Berlin 2020 III, 162 Seiten Illustrationen, Diagramme txt rdacontent n rdamedia nc rdacarrier Enthält außerdem 3 Sonderabbdrucke aus verschiedenen Zeitschriften Dissertation Technische Universität Berlin 2019 Windkraftwerk (DE-588)4128839-7 gnd rswk-swf Numerische Strömungssimulation (DE-588)4690080-9 gnd rswk-swf Maschinelles Lernen (DE-588)4193754-5 gnd rswk-swf (DE-588)4113937-9 Hochschulschrift gnd-content Windkraftwerk (DE-588)4128839-7 s Numerische Strömungssimulation (DE-588)4690080-9 s Maschinelles Lernen (DE-588)4193754-5 s DE-604 Erscheint auch als Online-Ausgabe 10.14279/depositonce-10356 (DE-604)BV046953846 https://doi.org/10.14279/depositonce-10356 Resolving-System kostenfrei Volltext |
| spellingShingle | Lennie, Matthew Engineering models and data science for wind energy Windkraftwerk (DE-588)4128839-7 gnd Numerische Strömungssimulation (DE-588)4690080-9 gnd Maschinelles Lernen (DE-588)4193754-5 gnd |
| subject_GND | (DE-588)4128839-7 (DE-588)4690080-9 (DE-588)4193754-5 (DE-588)4113937-9 |
| title | Engineering models and data science for wind energy |
| title_auth | Engineering models and data science for wind energy |
| title_exact_search | Engineering models and data science for wind energy |
| title_exact_search_txtP | Engineering models and data science for wind energy |
| title_full | Engineering models and data science for wind energy vorgelegt von M.Sc. M.Eng. Matthew Lennie |
| title_fullStr | Engineering models and data science for wind energy vorgelegt von M.Sc. M.Eng. Matthew Lennie |
| title_full_unstemmed | Engineering models and data science for wind energy vorgelegt von M.Sc. M.Eng. Matthew Lennie |
| title_short | Engineering models and data science for wind energy |
| title_sort | engineering models and data science for wind energy |
| topic | Windkraftwerk (DE-588)4128839-7 gnd Numerische Strömungssimulation (DE-588)4690080-9 gnd Maschinelles Lernen (DE-588)4193754-5 gnd |
| topic_facet | Windkraftwerk Numerische Strömungssimulation Maschinelles Lernen Hochschulschrift |
| url | https://doi.org/10.14279/depositonce-10356 |
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