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

Barth, Lukas; Hagenmeyer, Veit; Ludwig, Nicole; Wagner, Dorothea; Bischof, Simon [Beteiligte*r]; Trittenbach, Holger [Beteiligte*r]; Vollmer, Michael [Beteiligte*r]; Werle, Dominik [Beteiligte*r]


Zugehörige Institution(en) am KIT Institut für Automation und angewandte Informatik (IAI)
Institut für Programmstrukturen und Datenorganisation (IPD)
Institut für Prozessdatenverarbeitung und Elektronik (IPE)
Institut für Theoretische Informatik (ITI)
Publikationstyp Forschungsdaten
Publikationsjahr 2018
Erstellungsdatum 18.04.2018
Identifikator DOI: 10.5445/IR/1000082194
KITopen-ID: 1000082194
HGF-Programm 37.06.01 (POF III, LK 01) Networks and Storage Integration
Lizenz Creative Commons Namensnennung 4.0 International
Projektinformation GRK 2153/1 (DFG, DFG KOORD, GRK 2153/1)
Liesmich

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)

Art der Forschungsdaten Dataset
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