C
Carsten Matke
Researcher at University of Oldenburg
Publications - 8
Citations - 438
Carsten Matke is an academic researcher from University of Oldenburg. The author has contributed to research in topics: Transmission system & Grid. The author has an hindex of 6, co-authored 8 publications receiving 316 citations.
Papers
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Journal ArticleDOI
Opening the black box of energy modelling: Strategies and lessons learned
Stefan Pfenninger,Lion Hirth,Ingmar Schlecht,Eva Schmid,Frauke Wiese,Tom Brown,Chris Davis,Matthew Gidden,Heidi Heinrichs,Clara F. Heuberger,Simon Hilpert,Uwe Krien,Carsten Matke,Arjuna Nebel,Robbie Morrison,Berit Müller,Guido Pleßmann,Matthias Reeg,Jörn C. Richstein,Abhishek Shivakumar,Iain Staffell,Tim Tröndle,Clemens Wingenbach +22 more
TL;DR: Key steps to consider when opening code and data are discussed, including determining intellectual property ownership, choosing a licence and appropriate modelling languages, distributing code andData, and providing support and building communities.
Journal ArticleDOI
Opening the black box of energy modelling: strategies and lessons learned
Stefan Pfenninger,Lion Hirth,Ingmar Schlecht,Eva Schmid,Frauke Wiese,Tom Brown,Chris Davis,Birgit Fais,Matthew Gidden,Heidi Heinrichs,Clara F. Heuberger,Simon Hilpert,Uwe Krien,Carsten Matke,Arjuna Nebel,Robbie Morrison,Berit Müller,Guido Pleßmann,Matthias Reeg,Jörn C. Richstein,Abhishek Shivakumar,Iain Staffell,Tim Tröndle,Clemens Wingenbach +23 more
TL;DR: In this paper, the authors provide a practical how-to guide based on the collective experience of members of the Open Energy Modelling Initiative (Openmod), including determining intellectual property ownership, choosing a licence and appropriate modelling languages, distributing code and data, and providing support and building communities.
Journal ArticleDOI
Open Data in Power Grid Modelling: New Approaches Towards Transparent Grid Models
TL;DR: Two recent approaches developed to build electrical transmission network models using openly available data sources are presented and discussed and offer a unique opportunity to increase transparency, comparability and reproducibility of results in energy system modelling.
Journal ArticleDOI
Allocation of annual electricity consumption and power generation capacities across multiple voltage levels in a high spatial resolution
TL;DR: In this work, electricity demand and power generation are allocated to their corresponding voltage levels and network nodes and it is shown that a consistent data set can be produced in a high spatial resolution using geographical data processing.
Book ChapterDOI
Structure Analysis of the German Transmission Network Using the Open Source Model SciGRID
TL;DR: This work generates a topological grid model for Germany using open data provided by OpenStreetMap and characterize the structure of the German transmission grid by means of graph-theoretical decomposition approaches to complexity reduction.