GasLib - A Library of Gas Network Instances
Journal article
Publication Details
Author(s): Schmidt M, Aßmann D, Burlacu R, Humpola J, Joormann I, Kanelakis N, Koch T, Oucherif D, Pfetsch ME, Schewe L, Schwarz R, Sirvent M
Publisher: Taylor & Francis
Publication year: 2017
Volume: 2
Journal issue: 4
ISSN: 2306-5729
Language: English
Abstract
The development of mathematical simulation and optimization models and algorithms for solving gas transport problems is an active field of research. In order to test and compare these models and algorithms, gas network instances together with demand data are needed. The goal of GasLib is to provide a set of publicly available gas network instances that can be used by researchers in the field of gas transport. The advantages are that researchers save time by using these instances and that different models and algorithms can be compared on the same specified test sets. The library instances are encoded in an XML format. In this paper, we explain this format and present the instances that are available in the library.
FAU Authors / FAU Editors
| Aßmann, Denis | Schmidt, Martin Prof. Dr. | |
| | Professur für Angewandte Mathematik (Ganzzahlige und robuste Optimierung) | Juniorprofessur für Optimierung von Energiesystemen | |
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| | | Economics - Discrete Optimization - Mathematics (EDOM) |
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| | | Economics - Discrete Optimization - Mathematics (EDOM) |
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| | | |
| | | Economics - Discrete Optimization - Mathematics (EDOM) |
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External institutions with authors
→ Aristotle University of Thessaloniki |
→ Gottfried Wilhelm Leibniz Universität Hannover |
→ Konrad-Zuse-Zentrum für Informationstechnik / Zuse Institute Berlin (ZIB) |
→ Technische Universität Darmstadt |
How to cite
APA: | Schmidt, M., Aßmann, D., Burlacu, R., Humpola, J., Joormann, I., Kanelakis, N.,... Sirvent, M. (2017). GasLib - A Library of Gas Network Instances. Data, 2(4). https://dx.doi.org/10.3390/data2040040 |
MLA: | Schmidt, Martin, et al. "GasLib - A Library of Gas Network Instances." Data 2.4 (2017). |