Applying artificial intelligence and quantitative finance for a successful heat transition in the building sector:
Gespeichert in:
| 1. Verfasser: | |
|---|---|
| Format: | Abschlussarbeit Buch |
| Sprache: | English |
| Veröffentlicht: |
Bayreuth
2022
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| Schlagworte: | |
| Online-Zugang: | Volltext Volltext Volltext |
| Beschreibung: | IV, 48 Seiten Diagramme, Karte |
| DOI: | 10.15495/EPub_UBT_00006585 |
Internformat
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Datensatz im Suchindex
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| format | Thesis Book |
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| institution | BVB |
| language | English |
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| spelling | Wiethe, Christian Verfasser (DE-588)1265193525 aut Applying artificial intelligence and quantitative finance for a successful heat transition in the building sector vorgelegt von Christian Wiethe Bayreuth 2022 IV, 48 Seiten Diagramme, Karte txt rdacontent n rdamedia nc rdacarrier Dissertation Universität Bayreuth 2022 Gebäude (DE-588)4156127-2 gnd rswk-swf Energieeffizienz (DE-588)7660153-5 gnd rswk-swf Energiebewusstes Bauen (DE-588)4113437-0 gnd rswk-swf Risikomanagement (DE-588)4121590-4 gnd rswk-swf Künstliche Intelligenz (DE-588)4033447-8 gnd rswk-swf Wärmeversorgung (DE-588)4064214-8 gnd rswk-swf (DE-588)4113937-9 Hochschulschrift gnd-content Gebäude (DE-588)4156127-2 s Wärmeversorgung (DE-588)4064214-8 s Energiebewusstes Bauen (DE-588)4113437-0 s DE-604 Energieeffizienz (DE-588)7660153-5 s Risikomanagement (DE-588)4121590-4 s Künstliche Intelligenz (DE-588)4033447-8 s Erscheint auch als Online-Ausgabe 10.15495/EPub_UBT_00006585 urn:nbn:de:bvb:703-epub-6585-0 https://epub.uni-bayreuth.de/6585/ Verlag kostenfrei Volltext https://doi.org/10.15495/EPub_UBT_00006585 Verlag kostenfrei Volltext https://nbn-resolving.de/urn:nbn:de:bvb:703-epub-6585-0 Resolving-System kostenfrei Volltext |
| spellingShingle | Wiethe, Christian Applying artificial intelligence and quantitative finance for a successful heat transition in the building sector Gebäude (DE-588)4156127-2 gnd Energieeffizienz (DE-588)7660153-5 gnd Energiebewusstes Bauen (DE-588)4113437-0 gnd Risikomanagement (DE-588)4121590-4 gnd Künstliche Intelligenz (DE-588)4033447-8 gnd Wärmeversorgung (DE-588)4064214-8 gnd |
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| title | Applying artificial intelligence and quantitative finance for a successful heat transition in the building sector |
| title_auth | Applying artificial intelligence and quantitative finance for a successful heat transition in the building sector |
| title_exact_search | Applying artificial intelligence and quantitative finance for a successful heat transition in the building sector |
| title_exact_search_txtP | Applying artificial intelligence and quantitative finance for a successful heat transition in the building sector |
| title_full | Applying artificial intelligence and quantitative finance for a successful heat transition in the building sector vorgelegt von Christian Wiethe |
| title_fullStr | Applying artificial intelligence and quantitative finance for a successful heat transition in the building sector vorgelegt von Christian Wiethe |
| title_full_unstemmed | Applying artificial intelligence and quantitative finance for a successful heat transition in the building sector vorgelegt von Christian Wiethe |
| title_short | Applying artificial intelligence and quantitative finance for a successful heat transition in the building sector |
| title_sort | applying artificial intelligence and quantitative finance for a successful heat transition in the building sector |
| topic | Gebäude (DE-588)4156127-2 gnd Energieeffizienz (DE-588)7660153-5 gnd Energiebewusstes Bauen (DE-588)4113437-0 gnd Risikomanagement (DE-588)4121590-4 gnd Künstliche Intelligenz (DE-588)4033447-8 gnd Wärmeversorgung (DE-588)4064214-8 gnd |
| topic_facet | Gebäude Energieeffizienz Energiebewusstes Bauen Risikomanagement Künstliche Intelligenz Wärmeversorgung Hochschulschrift |
| url | https://epub.uni-bayreuth.de/6585/ https://doi.org/10.15495/EPub_UBT_00006585 https://nbn-resolving.de/urn:nbn:de:bvb:703-epub-6585-0 |
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