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  2. Dataset accompanying "How much demand side flexibility do we need? - Analyzing where to exploit flexibility in industrial processes"
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    Datenpaket: Dataset accompanying "How much demand side flexibility do we need? - Analyzing where to exploit flexibility in industrial processes"

    Alternativer Identifier:
    (KITopen-DOI) 10.5445/IR/1000082194
    Verwandter Identifier:
    -
    Ersteller/in:
    Barth, Lukas [Barth, Lukas]

    Hagenmeyer, Veit [Hagenmeyer, Veit]

    Ludwig, Nicole [Ludwig, Nicole]

    Wagner, Dorothea [Wagner, Dorothea]
    Beitragende:
    (Other)
    Bischof, Simon [Bischof, Simon]

    (Other)
    Trittenbach, Holger [Trittenbach, Holger]

    (Other)
    Vollmer, Michael [Vollmer, Michael]

    (Other)
    Werle, Dominik [Werle, Dominik]
    Titel:
    Dataset accompanying "How much demand side flexibility do we need? - Analyzing where to exploit flexibility in industrial processes"
    Weitere Titel:
    -
    Beschreibung:
    (Technical Remarks) This data accompanies the Paper "How much demand side flexibility do we need? - Analyzing where to exploit flexibility in industrial processes".[0] The raw data which this data set is based on, is the HIPE dataset[1], which can be found at https://www.energystatusdata.kit.edu/hipe.php . In the accompanying publication, you can find an in-depth description of the data, how it was gathered, what types of machines were covered, etc. This data package contains: * The instances of the four test sets in [0]. These can be found in the subfolder "instances". The "PS_Nonuniform", "PS_Uniform", "PSG" and "OM" subfolders contain the 450 instances of each set, one instance per file. The file format is explained in the "file_format.{md, html, pdf}" files. * Information about our computational results as a SQLite3 database in the "results" subfolder. Information about the database structure can be found in the "db_structure.{md, html, pdf}" files. [0] Lukas Barth, Veit Hagenmeyer, Nicole Ludwig, and Dorothea Wagner. 2018. How much demand side flexibility do we need? Analyzing where to exploit flexibility in industrial processes. In Proceedings of ACM eEnergy Conference (eEnergy’18). ACM, New York, NY, USA, 20 pages. (to appear) [1] Simon Bischof, Holger Trittenbach, Michael Vollmer, Dominik Werle, Thomas Blank, and Klemens Böhm. 2018. HIPE – an Energy-Status-Data Set from Industrial Production. In Proceedings of ACM e-Energy (e-Energy ’18). ACM, New York, NY, USA, 5 pages. (to appear)
    Schlagworte:
    -
    Zugehörige Informationen:
    -
    Sprache:
    -
    Herausgeber/in:
    Karlsruhe Institute of Technology
    Erstellungsjahr:
    Fachgebiet:
    Computer Science
    Objekttyp:
    Dataset
    Datenquelle:
    -
    Verwendete Software:
    -
    Datenverarbeitung:
    -
    Erscheinungsjahr:
    Rechteinhaber/in:
    Barth, Lukas

    Hagenmeyer, Veit

    Ludwig, Nicole

    Wagner, Dorothea
    Förderung:
    -
    Name Speichervolumen Metadaten Upload Aktion
    Status:
    Publiziert
    Eingestellt von:
    kitopen
    Erstellt am:
    Archivierungsdatum:
    2023-06-21
    Archivgröße:
    10,1 MB
    Archiversteller:
    kitopen
    Archiv-Prüfsumme:
    b770a927d50588a90e7007c1c37d7ed3 (MD5)
    Embargo-Zeitraum:
    -