Automated Organization ProfileTU Dortmund, Institute for Energy Systems, Energy Efficiency and the Energy Economy (ie³)
TU Dortmund, Institute for Energy Systems, Energy Efficiency and the Energy Economy (ie³)
Current S-Index
Sum of Dataset Indices for all datasets
Average Dataset Index per Dataset
Average Dataset Index per dataset
Total Datasets
Total datasets in this organization
Average FAIR Score
Average FAIR Score per dataset
Total Citations
Total citations to the organization's datasets
Total Mentions
Total mentions of the organization's datasets
S-Index Interpretation
The S-Index (Sharing Index) is a comprehensive metric that represents the cumulative impact of all your datasets. It is calculated as the sum of Dataset Index scores across all your claimed datasets.
What it means:
- A higher S-index indicates greater overall impact of your datasets relative to typical datasets in their fields of research
- The S-Index grows as you add more datasets or as existing datasets gain more citations and mentions
- It provides a single number to track your research data impact over time
Current S-Index: 3.7 (sum of 2 datasets Dataset Index scores)
More information here.
S-Index Over Time
Cumulative Citations Over Time
Cumulative Mentions Over Time
Datasets
SimBench (www.simbench.net) is a research project to create a "simulation database for uniform comparison of innovative solutions in the field of network analysis, network planning and operation", which was conducted for three and a half years from 1.11.2015 to 30.04.2019. It was part of the German Federal Government's 6th Energy Research Program "Research for an Environmentally Friendly, Reliable and Affordable Energy Supply". The project was carried out by the University of Kassel, the Fraunhofer IEE, the RWTH Aachen University and the Technical University of Dortmund in accordance with the authors mentioned above. The project, coordinated by the University of Kassel, was supported by the professional advisory from six German distribution network operators: DREWAG NETZ GmbH, Energie Netz Mitte GmbH, ENSO NETZ GmbH, Netze BW GmbH, Syna GmbH and Westnetz GmbH.The objective of the research project SimBench is the development of a benchmark data set to support research in grid planning and operation. SimBench Grid differs from other benchmark grids under the following key points:Consideration of a wide range of use cases during the development of data setsProvision of grid data for low voltage (LV), medium voltage (MV), high voltage (HV), extra high voltage (EHV) as well as design of data sets for a suitable interconnection of a grid among different voltage levels for cross-level simulationsEnsuring highreproducibility and comparability by providing clearly assigned load and generation time seriesValidation of the suitability of the data sets with simulation, deliberately determined grid states including suitable dimensioning of grid assetsIn total SimBench provides 13 unique electrical power system grids (EHV: 1, HV: 2, MV: 4, LV: 6). Since SimBench is enables multi-voltage simulations, this dataset includes not only 13 folder but many more. Each excerpt of the complete dataset, composed to a folder, is distinctively named by the SimBench code.For further information, please visit www.simbench.net and the documentation published there.
Authors
- Meinecke, Steffen ;
- Drauz, Simon ;
- Klettke, Annika ;
- Sarajlić, Džanan ;
- Sprey, Julian ;
- Spalthoff, Christian ;
- Kittl, Chris ;
- Braun, Martin ;
- Moser, Albert ;
- Rehtanz, Christian
SimBench (www.simbench.net) is a research project to create a "simulation database for uniform comparison of innovative solutions in the field of network analysis, network planning and operation", which was conducted for three and a half years from 1.11.2015 to 30.04.2019. It was part of the German Federal Government's 6th Energy Research Program "Research for an Environmentally Friendly, Reliable and Affordable Energy Supply". The project was carried out by the University of Kassel, the Fraunhofer IEE, the RWTH Aachen University and the Technical University of Dortmund in accordance with the authors mentioned above. The project, coordinated by the University of Kassel, was supported by the professional advisory from six German distribution network operators: DREWAG NETZ GmbH, Energie Netz Mitte GmbH, ENSO NETZ GmbH, Netze BW GmbH, Syna GmbH and Westnetz GmbH.The objective of the research project SimBench is the development of a benchmark data set to support research in grid planning and operation. SimBench Grid differs from other benchmark grids under the following key points:Consideration of a wide range of use cases during the development of data setsProvision of grid data for low voltage (LV), medium voltage (MV), high voltage (HV), extra high voltage (EHV) as well as design of data sets for a suitable interconnection of a grid among different voltage levels for cross-level simulationsEnsuring highreproducibility and comparability by providing clearly assigned load and generation time seriesValidation of the suitability of the data sets with simulation, deliberately determined grid states including suitable dimensioning of grid assetsIn total SimBench provides 13 unique electrical power system grids (EHV: 1, HV: 2, MV: 4, LV: 6). Since SimBench is enables multi-voltage simulations, this dataset includes not only 13 folder but many more. Each excerpt of the complete dataset, composed to a folder, is distinctively named by the SimBench code.For further information, please visit www.simbench.net and the documentation published there.
Authors
- Meinecke, Steffen ;
- Drauz, Simon ;
- Klettke, Annika ;
- Sarajlić, Džanan ;
- Sprey, Julian ;
- Spalthoff, Christian ;
- Kittl, Chris ;
- Braun, Martin ;
- Moser, Albert ;
- Rehtanz, Christian