Publications featuring data by OPSD

Amme, J. et al. 2018. The eGo grid model: An open-source and open-data based synthetic medium-voltage grid model for distribution power supply systems. J. Phys.: Conf. Ser. 977 012007

El-Amary, Noha H. et al 2018. A Reconfigured Whale Optimization Technique (RWOT) for Renewable Electrical Energy Optimal Scheduling Impact on Sustainable Development Applied to Damietta Seaport, Egypt. Energies, Volume 11, Issue 3

Gardumi, Francesco et al 2018. From the development of an open-source energy modelling tool to its application and the creation of communities of practice: The example of OSeMOSYS. Energy Strategy Revies, Volume 20

Mueller, Ulf Philipp et al 2018. The eGo grid model: An open source approach towards a model of German high and extra-high voltage power grids. J. Phys.: Conf. Ser. 977 012003

Olauson, Jon 2018. ERA5: The new champion of wind power modelling? Renewable Energy, Volume 126

Pfenninger, Stefan et al. 2018. Opening the black box of energy modelling: Strategies and lessons learned. Energy Strategy Reviews, Volume 19

Robinius, Martin et al. 2018. Comparative Analysis of Infrastructures: Hydrogen Fueling and Electric Charging of Vehicles. Schriften des Forschungszentrums Jülich, Series Energy & Environment, Volume 408, VIII, 107 pp

Wohland, J., Reyers, M., Märker, C. & Witthaut, D 2018. Natural wind variability triggered drop in German redispatch volume and costs from 2015 to 2016. PLOS ONE 13, e0190707 (2018).

Zerrahn, A. et al. 2018. On the economics of electrical storage for variable renewable energy sources. eprint arXiv:1802.07885. Publication Date: 02/2018

Fusco, Francesco et al. 2017. Power System Data Fusion based on Belief Propagation. 7th IEEE International Conference on Innovative Smart Grid Technologies (ISGT) Europe 2017.

González Ordiano, Jorge Á. et al. 2017. Energy forecasting tools and services. Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery, Volume 14

Jense, Tue V. und Pinson, Pierre. 2017. RE-Europe, a large-scale dataset for modeling a highly renewable European electricity system. Scientific Data, Volume 4

Kendziorski, Mario et al. 2017. Generation expansion planning under uncertainty: An application of stochastic methods to the German electricity system. 2017 14th International Conference on the European Energy Market (EEM).

Klein, Martin & Deissenroth, Marc 2017. When do households invest in solar photovoltaics? An application of prospect theory. Energy Policy, Volume 109

Müller, Ulf Philipp et al. 2017. AC Power Flow Simulations within an Open Data Model of a High Voltage Grid. Advances and New Trends in Environmental Informatics (edited volume).

Nacken, Lukas and Möbius, Thomas. 2017. The effects of harmonized European climate policy targets in comparison to national targets utilizing a European electricity market model. 2017 14th International Conference on the European Energy Market (EEM).

Portela, Jose et al. 2017. Forecasting functional time series with a new Hilbertian ARMAX model: Application to electricity price forecasting. IEE Transactions on Power Systems, Volume PP, Issue 99

Ritter, Nolan et al. 2017. RealValue market design and business models report. Report from the ‘RealValue – Realising value from Electricity Markets with Local Smart Electric Thermal Storage Technology’ project, funded by the EU Horizon 2020 research and innovation programme.

Schill, Wolf-Peter et al. 2017. Start-up costs of thermal power plants in markets with increasing shares of variable renewable generation, Nature Energy 2, 17050.

Schill, Wolf-Peter et al. 2017. Prosumage of Solar Electricity: Pros, Cons, and the System Perspective. Economics of Energy and Environmental Policy, Volume 6, Issue 1, 7-31.

Tafarte, Philipp and Buck, Patrick. 2017. Integration of wind power – Challenges and options for market integration and its impact on future cross-sectorial use. 2017 14th International Conference on the European Energy Market (EEM).

Yaslan, Yusuf and Bahadır Bican. 2017. Empirical mode decomposition based denoising method with support vector regression for time series prediction: A case study for electricity load forecasting. Measurement.

Zaidi, Bizzat Hussain and Hong, Seung Ho. 2017. Combinatorial double auctions for multiple microgrid trading. Electrical Engineering, Volume 62, Issue 4

Wehrle, Sebastian and Schmidt, Johannes. 2016: Optimal emission prices for a district heating system owner. INWE Diskussionspapier DP-64-2016.