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    EN:RICH - an AI-driven framework for neighborhood-level heating estimations based on multi-data source enriched CityGML models

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    EN:RICH - an AI-driven framework for neighborhood-level heating estimations based on multi-data source enriched CityGML models

    New search for: Shaker Verlag
    Table of contents

    Access

    Access via TIB
    Check availability in my library
    Order at Subito €

    EN:RICH - an AI-driven framework for neighborhood-level heating estimations based on multi-data source enriched CityGML models

    New search for: Shaker Verlag
    Table of contents

    Access

    Access via TIB
    Check availability in my library
    Order at Subito €

    Access

    Access via TIB
    Check availability in my library
    Order at Subito €

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    Document information
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    Document information
    Title:

    EN:RICH - an AI-driven framework for neighborhood-level heating estimations based on multi-data source enriched CityGML models

    Contributors:

    Thiele, Christian-Dominik (author) / Shaker Verlag (publisher) / Technische Universität Darmstadt (degree granting institution)

    Published in:

    Berichte des Instituts für Numerische Methoden und Informatik im Bauwesen ; Band 1/2024

    Publication date:

    2024

    Size:

    XI, 138, XV-LI Seiten

    Remarks:

    21 cm x 14.8 cm, 282 g
    Illustrationen, Diagramme

    ISBN:

    9783844094107 , 3844094105

    Type of media:

    Theses

    Type of material:

    Print

    Language:

    English

    Keywords:

    Heizung , Wärmebedarf , Datenmodell , Stadtviertel , Energieeinsparung , Energiebewusstes Bauen , Stadtmodell

    Classification:

    BKL:  56.55 Bauphysik, Bautenschutz / 56.03 Methoden im Bauingenieurwesen

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