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Citing pandapower | ||
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We are currently working on publishing a peer-reviewed paper about pandapower that should be used as reference in the future. | ||
We are currently working on publishing a paper about pandapower, which is available as a `preprint on arxiv <https://arxiv.org/abs/1709.06743>`_. | ||
Until the paper has passed peer-review, please acknowledge the usage of pandapower in your paper as follows: :: | ||
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For now, please acknowledge the use of pandapower in publucations by citing the Technical Report: :: | ||
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@TechReport{pandapower, | ||
author = {Leon Thurner and Alexander Scheidler and Julian Dollichon and Florian Schäfer and Jan-Hendrik Menke and Friederike Meier and Steffen Meinecke and others}, | ||
title = {pandapower - Convenient Power System Modelling and Analysis based on PYPOWER and pandas}, | ||
institution = {University of Kassel and Fraunhofer Institute for Wind Energy and Energy System Technology}, | ||
year = {2017}, | ||
url = {http://pandapower.readthedocs.io/en/v1.4.0/_downloads/pandapower.pdf} | ||
@online{pandapower, | ||
author = {{Thurner}, L. and {Scheidler}, A. and {Sch{\"a}fer}, F. and {Menke}, J.-H. and {Dollichon}, J. and {Meier}, F. and {Meinecke}, S. and {Braun}, M.}, | ||
title = "{pandapower - an Open Source Python Tool for Convenient Modeling, Analysis and Optimization of Electric Power Systems}", | ||
year = 2017, | ||
url = {https://arxiv.org/abs/1709.06743}, | ||
note = {preprint} | ||
} |