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Haas, J.; Cebulla, F.; Cao, K.; Nowak, W.; Palma-Behnke, R.; Rahmann, C.; Mancarella, P. (2017):
Challenges and trends of energy storage expansion planning for flexibility provision in low-carbon power systems – a review. Renewable and Sustainable Energy Reviews, vol. 80, pp. 603–619

Cebulla, F.; Fichter, T. (2017):
Merit order or unit-commitment: How does thermal power plant modeling affect storage demand in energy system models? Renewable Energy, 105, pp. 117–132. URL: http://www.sciencedirect.com/science/article/pii/S0960148116310990

Cao, K.; Cebulla, F.; Gómez Vilchez, J.J.; Mousavi, B.; Prehofer, S. (2016):
Raising awareness in model-based energy scenario studies - a transparency checklist. Energ Sustain Soc (2016) 6:28. doi:10.1186/s13705-016-0090-z

Culka, M. (2016):
Uncertainty analysis using Bayesian Model Averaging: a case study of input variables to energy models and inference to associated uncertainties of energy scenarios. Energy, Sustainability and Society 6:7. DOI: 10.1186/s13705-016-0073-0. URL: http://energsustainsoc.springeropen.com/articles/10.1186/s13705-016-0073-0

Li, H.; Chabay, I.; Renn, O.; Weber, A.; Mbungu, G. (2015):
Exploring smart grids with simulations in a mobile science exhibition. Energy, Sustainability and Society, 5:37. DOI: 10.1186/s13705-015-0066-4. URL: http://energsustainsoc.springeropen.com/articles/10.1186/s13705-015-0066-4

Prehofer, S.; Buchgeister, J.; Kosow, H.; Naegler, T.; Pregger, T.; Rieder, A.; Vögele, S.; Weimer-Jehle, W. (2015):
Linking qualitative scenarios with energy models: Knowledge integration in different methodological designs. Environmental Modelling and Software, Thematic Issue, forthcoming. 

Herbst, A.; Fleiter, T.; Jochem, E. (2014):
Modelling recycling and material efficiency trends in the European steel industry. Conference Contribution and Presentation. ECEEE industrial summer study. Arnhem, The Netherlands.

Herbst, A.; Biere, D.; Fleiter, T.; Jochem, E.; Schade, W.; Krail, M.; Kühn, A. (2014):
Coupling of ASTRA and Forecast Industry: A case study for the basic metals industry , ESA2 Short Report, Fraunhofer ISI Karlsruhe, Germany.

Hansen, P.; Pannaye, C.; Vögele, S.; Weimer-Jehle, W.; Prehofer, S.; Poganietz, W.-R. (2014):
The Future(s) of the Energy Consumption of Private Households in Germany - A Multilevel Cross-Impact Analysis. Research Center Jülich, STE Research Report 7/2014.

Gómez Vilchez, J.; Jochem, P.; Fichter, W. (2014):
Car Technology Scenarios using System Dynamics: Exploring Market Penetration and Energy Consumption in China, Germany and US. 32nd International Conference of the System Dynamics Society (SDS). Presented at the SDS Conference’s PhD Colloquium in Delft (Netherlands).

Culka, M. (2014):
Applying Bayesian model averaging for uncertainty estimation of input data in energy modelling. In: Energy, Sustainability and Society.2014, 4:21; DOI: 10.1186/s13705-014-0021-9; URL: http://www.energsustainsoc.com/content/4/1/21; French version; Audio with legal note.

Weimer-Jehle, W.; Prehofer S.; Vögele S. (2013):
Kontextszenarien – Ein Konzept zur Behandlung von Kontextunsicherheit und Kontextkomplexität bei der Entwicklung von Energieszenarien [Context scenarios – a concept for addressing context uncertainty and context complexity in energy scenarios, in German]. TATuP 22(2), pp. 27-36.

Herbst, A.; Fleiter, T.; Jochem, E. (2013):
Mutually linking bottom-up energy demand models with macroeconomic models: Dealing with inter- and intra-sectoral structural change. IAEE International Conference Contribution and Presentation. Dague, South Korea.

Gómez Vilchez, J.; Jochem, P.; Fichter, W. (2013):
EV Market Development Pathways – An Application of System Dynamics for Policy Simulation. In Proceedings of the 32nd International Association for Energy Economics (IAEE). Presented in Düsseldorf. Abstract available online at: http://static.gee.de/cgi-bin/download.cgi?dl=1&id=1363347406

Gómez Vilchez, J.; Jochem, P.; Fichter, W. (2013):
The Impact of Electric Vehicles on Global Oil Demand and CO2 Emissions. In Proceedings of the 13th World Congress on Transport Research Society (WCTR). Presented in Rio de Janeiro. Online access restricted to WCTRS members

Herbst, A.; Toro, F. A.; Reitze, F.; Jochem, E. (2012):
Introduction to Energy Systems Modelling. Swiss Journal of Economics and Statistics, Vol. 148 (2), 111–135. Abstract online available: http://www.sjes.ch/published.php?PaperNr=2012-II-2&Year=2012.

Herbst, A.; Reitze, F.; Toro, F. A.; Jochem, E. (2012):
Bridging macroeconomic and bottom up energy models – the case of efficiency in industry. Proceedings of the ECEEE industrial summer study, Arnhem, The Netherlands.

Dieckhoff, Ch.; Fichtner, W.; Grunwald, A.; Meyer, S.; Nast, M.; Nierling, L.; Renn, O.; Voß, A.; Wietschel, M. (Hrsg.) (2011):
Energieszenarien. Konstruktion, Bewertung und Wirkung - "Anbieter" und "Nachfrager" im Dialog. – Tagungsband. Karlsruhe: KIT Scientific Publishing. Online available: http://www.itas.kit.edu/pub/v/2011/grua11a.pdf.


Poster presentations

Herbst, A.; Jochem, E. (2013):
Demand modelling by hybrid energy system models- Linking the results of process-based bottom-up models and macroeconomic models. Conference poster presentation “Energy Systems in Transition: Inter- and Transdisciplinary Contributions”, 9-11th October 2013, Karlsruhe.

Cao, K. (2013):
Analysis of long-term development scenarios for the German and European power transmission system considering options for energy balancing. Meeting with the international advisory board, 8. Okt. 2013, Karlsruhe.



Li, H. (2015):
Social Simulations of Household Electricity Use in a Smart Grid Environment. 19th GEE (German Energy Science Society) Workshop, Stuttgart, May 8, 2015

Prehofer, S. (2014):
Applying Cross-Impact Balance Method to enhance strategic reflection in science and politics. The case of heat consumption in Germany". 1st International Symposium on Energy Challenges & Mechanics, 8-10 July 2014, Aberdeen (Scotland, UK).

Prehofer, S. (2014):
Constructing hybrid scenarios to enhance socio-technical system understanding and to improve coupling stories with quantitative modelling. UCL-CIRED workshop “Innovative techniques for Quantitative SCeanrios in ENergy and Environmental research (IQ SCENE)”, 26-27 March 2014, London

Li, H.; Pfenning, U. (2014):
An agent-based model of local energy autonomy in Germany. 23rd Conference of Society for Risk Analysis Europe, 16-18 June 2014, Istanbul.

François, D. E. (2014):
Sustainable power systems: electric grids with a large penetration of renewable distributed generation – a case study in Brazil. PhD Summer school “Research on Sustainable Development”, 23-27 June 2014, University of Basel.

Prehofer, S. (2013):
The German Energy Turnaround – Applying risk analysis using CIB context scenarios. 5th iNTeg-Risk Conference 2013 “Horizon 2020: From iNTeg-Risk to the European Emerging Risk Radar“, May 22th 2013, Stuttgart.

Prehofer, S. (2013):
Combining CIB with Simulation. Constructing scenarios of socio-technical-environmental futures. Geography and Sustainability, Conference on Transdisciplinary Research and Modeling, April 10th 2013, Munich.