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Main Author: | |
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Format: | Thesis/Dissertation Book |
Language: | English |
Published: |
Berlin
Technische Universität Berlin
2024
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Subjects: | |
Links: | https://doi.org/10.14279/depositonce-21430 https://hdl.handle.net/11303/22629 https://nbn-resolving.org/urn:nbn:de:101:1-2410300102081.944551409248 https://d-nb.info/1346552401/34 |
Physical Description: | xxvi, 183 Seiten Illustrationen, Diagramme |
DOI: | 10.14279/depositonce-21430 |
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physical | xxvi, 183 Seiten Illustrationen, Diagramme |
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spelling | Voss, Marcus Verfasser aut Advancing methods for forecasting and analyzing low-voltage load data vorgelegt von Marcus Voss, M. Sc. Innovative Methoden für die Prognose und die Analyse von Lastdaten in Niederspannungs-Verteilnetzen Berlin Technische Universität Berlin 2024 xxvi, 183 Seiten Illustrationen, Diagramme txt rdacontent n rdamedia nc rdacarrier Dissertation Technische Universität Berlin 2024 Archivierung/Langzeitarchivierung gewährleistet DE-101 pdager 2\p Maschinelles Lernen (DE-588)4193754-5 gnd 3\p Erneuerbare Energien (DE-588)4068598-6 gnd (DE-588)4113937-9 Hochschulschrift gnd-content Erscheint auch als Online-Ausgabe 10.14279/depositonce-21430 (DE-604)BV050095113 https://doi.org/10.14279/depositonce-21430 Resolving-System kostenfrei Volltext https://hdl.handle.net/11303/22629 Resolving-System kostenfrei Volltext https://nbn-resolving.org/urn:nbn:de:101:1-2410300102081.944551409248 Resolving-System kostenfrei Volltext https://d-nb.info/1346552401/34 Langzeitarchivierung Nationalbibliothek 1\p emasg 0,46881 20241030 DE-101 https://d-nb.info/provenance/plan#emasg 2\p emagnd 0,08601 20241030 DE-101 https://d-nb.info/provenance/plan#emagnd 3\p emagnd 0,08486 20241030 DE-101 https://d-nb.info/provenance/plan#emagnd |
spellingShingle | Voss, Marcus Advancing methods for forecasting and analyzing low-voltage load data 2\p Maschinelles Lernen (DE-588)4193754-5 gnd 3\p Erneuerbare Energien (DE-588)4068598-6 gnd |
subject_GND | (DE-588)4193754-5 (DE-588)4068598-6 (DE-588)4113937-9 |
title | Advancing methods for forecasting and analyzing low-voltage load data |
title_alt | Innovative Methoden für die Prognose und die Analyse von Lastdaten in Niederspannungs-Verteilnetzen |
title_auth | Advancing methods for forecasting and analyzing low-voltage load data |
title_exact_search | Advancing methods for forecasting and analyzing low-voltage load data |
title_full | Advancing methods for forecasting and analyzing low-voltage load data vorgelegt von Marcus Voss, M. Sc. |
title_fullStr | Advancing methods for forecasting and analyzing low-voltage load data vorgelegt von Marcus Voss, M. Sc. |
title_full_unstemmed | Advancing methods for forecasting and analyzing low-voltage load data vorgelegt von Marcus Voss, M. Sc. |
title_short | Advancing methods for forecasting and analyzing low-voltage load data |
title_sort | advancing methods for forecasting and analyzing low voltage load data |
topic | 2\p Maschinelles Lernen (DE-588)4193754-5 gnd 3\p Erneuerbare Energien (DE-588)4068598-6 gnd |
topic_facet | Maschinelles Lernen Erneuerbare Energien Hochschulschrift |
url | https://doi.org/10.14279/depositonce-21430 https://hdl.handle.net/11303/22629 https://nbn-resolving.org/urn:nbn:de:101:1-2410300102081.944551409248 https://d-nb.info/1346552401/34 |
work_keys_str_mv | AT vossmarcus advancingmethodsforforecastingandanalyzinglowvoltageloaddata AT vossmarcus innovativemethodenfurdieprognoseunddieanalysevonlastdateninniederspannungsverteilnetzen |