| Synergies of sector coupling and transmission reinforcement in a cost-optimised, highly renewable European energy system T Brown, D Schlachtberger, A Kies, S Schramm, M Greiner Energy 160, 720-739, 2018 | 780 | 2018 |
| PyPSA: Python for power system analysis T Brown, J Hörsch, D Schlachtberger arXiv preprint arXiv:1707.09913, 2017 | 724 | 2017 |
| The benefits of cooperation in a highly renewable European electricity network DP Schlachtberger, T Brown, S Schramm, M Greiner Energy 134, 469-481, 2017 | 366 | 2017 |
| PyPSA-Eur: An open optimisation model of the European transmission system J Hörsch, F Hofmann, D Schlachtberger, T Brown Energy strategy reviews 22, 207-215, 2018 | 338 | 2018 |
| Cost optimal scenarios of a future highly renewable European electricity system: Exploring the influence of weather data, cost parameters and policy constraints DP Schlachtberger, T Brown, M Schäfer, S Schramm, M Greiner Energy 163, 100-114, 2018 | 176 | 2018 |
| The role of hydro power, storage and transmission in the decarbonization of the Chinese power system H Liu, T Brown, GB Andresen, DP Schlachtberger, M Greiner Applied Energy 239, 1308-1321, 2019 | 111 | 2019 |
| Backup flexibility classes in emerging large-scale renewable electricity systems DP Schlachtberger, S Becker, S Schramm, M Greiner Energy Conversion and Management 125, 336-346, 2016 | 102 | 2016 |
| PyPSA: Python for power system analysis. J Open Res Softw 2018; 6 T Brown, J Hörsch, D Schlachtberger arXiv preprint arXiv:1707.09913, 0 | 21 | |
| PyPSA: Python for power system Analysis. 2017 T Brown, J Hörsch, D Schlachtberger Journal of Open Research Software 6 (1), 0 | 15 | |
| Sector coupling in a simplified model of a highly renewable European energy system T Brown, D Schlachtberger, A Kies, M Greiner Proceedings of 15th Wind Integration Workshop, 2016 | 14 | 2016 |
| PyPSA documentation T Brown, J Hörsch, F Hofmann, F Neumann, D Schlachtberger Renewable Energy Group, Emden, Germany, 2016 | 7 | 2016 |
| Python for power system analysis (PyPSA): Free software for Planning energy systems with high shares of renewables T Brown, J Hörsch, D Schlachtberger Proceedings of the 1st International Conference on Large-Scale Grid …, 2017 | 6 | 2017 |
| The benefits of cooperation in a highly renewable European electricity network, Energy 134 (Supplement C)(2017) 469–481. doi: 10.1016/j. energy. 2017.06. 004 DP Schlachtberger, T Brown, S Schramm, M Greiner URL http://www. sciencedirect. com/science/article/pii S, 0 | 6 | |
| Synergies of sector coupling and transmission extension in a cost-optimised, highly renewable European energy system T Brown, D Schlachtberger, A Kies, S Schramm, M Greiner URL https://arxiv. org/abs, 1801 | 5 | 1801 |
| Impact of climate change on a future highly renewable European power system M Schlott, A Kies, T Brown, D Schlachtberger, J Hoersch, S Schramm, ... Proceedings of 16th Wind Integration Workshop, 2017 | 2 | 2017 |
| A comprehensive analysis of flexibility options to integrate high shares of renewable electricity in a European power network DP Schlachtberger Universitätsbibliothek Johann Christian Senckenberg, 2017 | 2 | 2017 |
| Python for Power System Analysis (PyPSA) T Brown, J Hörsch, D Schlachtberger | 2 | 2016 |
| Networks versus Storage in a Highly Renewable European Electricity System: A Continuous Parameter Sweep D Schlachtberger, T Brown, S Schramm, M Greiner | 1 | 2016 |
| The effect of real-time pricing on load shifting in a highly renewable power system dominated by generation from the renewable sources of wind and photovoltaics A Kies, T Brown, D Schlachtberger, S Schramm EGU General Assembly Conference Abstracts, 19078, 2017 | | 2017 |
| Impact of climate change on renewable power resources and consequently on a future highly renewable European power system M Schlott, A Kies, T Brown, D Schlachtberger, J Hoersch, S Schramm | | 2017 |
