Resources

1. “District Heat Network Extension to Decarbonise Building Stock: A Bottom-Up Agent-Based Approach,” Applied Energy, 272, 115177, 2020. doi: 10.1016/j.apenergy.2020.115177.

2. “Impact of Nord Stream 2 and LNG on Gas Trade and Security of Supply in the European Gas Network of 2030,” Applied Energy, 238, 816-830, 2019. doi: 10.1016/j.apenergy.2019.01.068.

3. “Impact of Trends in Global LNG Supply and Demand on the European Gas Market in 2030,” 2019 Global Power and Propulsion Conference, Zurich, Switzerland. doi: 10.33737/GPPS19-TC-050.

4. “Impact of Large Scale Battery Energy Storage on the 2030 Central European Transmission Grid,” 2018 15th International Conference on the European Energy Market, Lodz, Poland, 2018. doi: 10.1109/EEM.2018.8469789.

5. “Trade-Offs Between Integration and Isolation in Switzerland’s Energy Policy,” Energy, 150, 19-27, 2018. doi: 10.1016/j.energy.2018.02.139.

6. “Energy Transition on the Korean Peninsula: Role of Thermal Plants in a Future Smart Grid,” 2018 IEEE Innovative Smart Grid Technologies – Asia Conference, Singapore, 2018. doi: 10.1109/ISGT-Asia.2018.8467903.

7. “Impacts of Battery Electric Vehicles on the Central European Power System in 2030,” International Journal of Energy Research, 42, 4142-4156, 2018. doi: 10.1002/er.4161.

8. “Operational and Financial Performance of Fossil Fuel Power Plants Within a High Renewable Energy Mix,” Journal of the Global Power and Propulsion Society, 1, 16-27, 2017. doi: 10.22261/JGPPS.2BIOTO.

9. “Effect of Increased Renewables Generation on Operation of Thermal Power Plants”, Applied Energy, 164, 723-732, 2016. doi: 10.1016/j.apenergy.2015.12.017.

10. “Managing Energy Risk – A Case Study of Bulgaria With No Nuclear Power,” 2017 14th International Conference on the European Energy Market, Dresden, Germany, 2017. doi: 10.1109/EEM.2017.7981903.

11. “Optimal RES Portfolio to Achieve 45% Renewable Electricity in Central Europe by 2030,” 2017 IEEE Power Energy and Society General Meeting, Chicago, USA, 2017. doi: 10.1109/PESGM.2017.8273819.

12. “Impacts of Battery Electric Vehicles on the Central European Power System in 2030” 2016 13th International Conference on the European Energy Market, Porto, Portugal, 2016. doi: 10.1109/EEM.2016.7521320.

13. “Impacts of Carbon Taxes on the Interconnected Central European Power System in 2030” 2016 13th International Conference on the European Energy Market, Porto, Portugal, 2016. doi: 10.1109/EEM.2016.7521355.

14. “Improved Integration of European Renewables Using Dynamic Line Rating in Switzerland” 2016 13th International Conference on the European Energy Market, Porto, Portugal, 2016. doi: 10.1109/EEM.2016.7521236.

15. “Impact of Unplanned Power Flows in Interconnected Transmission Systems – Case Study of Central Eastern European Region,” Energy Policy, 91, 287-303, 2016. doi: 10.1016/j.enpol.2016.01.006.

16. “Integrated Biomass Assessment and Optimized Power Generation,” Energy Technology, 3, 265-278, 2015. doi: 10.1002/ente.201402123.

17. “High Resolution Modelling of the Impacts of Exogenous Factors on Power Systems,” Energies, 8, 14168-14181, 2015. doi: 10.3390/en81212424.

18. “Improved Modelling of Demand and Generation in High Resolution Simulations of Interconnected Power Systems,” 12th International Conference on the European Energy Market, Lisbon, Portugal, 2015. doi: 10.1109/EEM.2015.7216689.

19. “High Resolution Simulations of Increased Renewable Penetration on Central European Transmission Grid,” 2015 IEEE Power Energy and Society General Meeting, Denver, USA, 2015. doi: 10.1109/PESGM.2015.728599.

20. “Increasing On-Shore Wind Generated Electricity in Germany’s Transmission Grid,” ASME Journal of Engineering for Gas Turbines and Power, 137, 021801, 2014. doi: 10.1015/1.4028380.

21. “Optimal Power Flow Analysis of Switzerland’s Transmission System for Long-Term Capacity Planning,” Renewable & Sustainable Energy Reviews, 34, 596-607, 2014. doi: 10.1016/j.rser.2014.03.044.

22. “Large Scale Technical And Economical Assessment Of Wind Energy Potential with a GIS Tool: Case Study Iowa,” Energy Policy, 45, 73-85, 2012. doi: 10.1016/j.enpol.2012.01.061.

Papers Related to Mobility

1. “Uncertainties of Sub-Scaled Supply and Demand in Agent-Based Mobility Simulations with Queuing Traffic Model,” Networks and Spatial Economics, 21, 261–290, 2021. doi: 10.1007/s11067-021-09516-x.

2. “Impact of Electric Vehicle Charging – An Agent-Based Approach,” IET Generation, Transmission and Distribution, 15, 2605–2617, 2021. doi: 10.1049/gtd2.12202.

3. “A Data-Driven Approach to Run Agent-Based Multi-Modal Traffic Simulations on Heterogeneous CPU-GPU Hardware,” Procedia Computer Science, 184, 720-727, 2021. doi: 10.1016/j.procs.2021.04.021.

4. “Gridlock Resolution in a GPU-accelerated Traffic Queue Model,” Procedia Computer Science, 170, 681-687, 2021. doi: 10.1016/j.procs.2020.03.171.

5. “Holistic, Integrated Generation of Daily-Activity Plans for Switzerland: from Population Synthesis to Trip Generation,” 20th Swiss Transport Research Conference, Ascona, Switzerland, 2020. doi: 10.3929/ethz-b-000421088.

6. “User Behaviour and Electric Vehicle Charging Infrastructure: An Agent-Based Model Assessment,” Applied Energy, 254, 113680, 2019. doi: 10.1016/j.apenergy.2019.113680.

7. “GEMSim: A GPU-accelerated Multi-Modal Mobility Simulator for Large-Scale Scenarios,” Simulation Modelling Practice and Theory, 94, 199-214, 2019. doi: 10.1016/j.simpat.2019.03.002.

8. “Large-Scale Multi-Agent Mobility Simulations on a GPU: Towards High Performance and Scalability,” Procedia Computer Science, 151, 733-738, 2019. doi: 10.1016/j.procs.2019.04.098.

9. “Techno-Economic Optimization of EV Charging Infrastructure Incorporating Customer Behavior,” 2018 15th International Conference on the European Energy Market, Lodz, Poland, 2018. doi: 10.1109/EEM.2018.8469989.

Other Papers

1. “A Multi Dimensional Spatial Policy Model for Large Scale Multi Municipal Swiss Contexts,” Environment and Planning B: Urban Analytics and City Science, 0, 1-16, 2021. doi: 10.1177/2399808320985854.

2. “COVID-19 Epidemic in Switzerland: Growth Prediction and Containment Strategy Using Artificial Intelligence and Big Data,” medRxiv, 7 April 2020, doi: 10.1101/2020.03.30.20047472

3. “Enhancing Response Preparedness to Influenza Epidemics: Agent-Based Study of 2050 Influenza Season in Switzerland,” Simulation Modelling Practice and Theory, 103, 102091, 2020. doi: 10.1016/j.simpat.2020.102091.

4. “Immigration and Future Housing Needs in Switzerland: Agent-Based Modelling of Agglomeration Lausanne,” Computers, Environment and Urban Systems, 78, 101400, 2019. doi: 10.1016/j.compenvurbsys.2019.101400.

5. “Agent-Based Model Analysis of Impact of Immigration on Switzerland’s Social Security,” Journal of International Migration and Integration, 20, 787-808, 2019. doi: 10.1007/s12134-018-0631-8.

6. “Visualisation and Immersion Dome Experience for Inspired Participation,” Journal of Sustainable Development of Energy Water and Environment Systems, 6, 67-77, 2018. doi: 10.13044/j.sdewes.d5.0165.

7. “Impact of Future Cities on Commuting Patterns: an Agent-Based Approach,” Environment and Planning B: Urban Analytics and City Science, 0, 1-18, 2017. doi: 10.1177/2399808317751145.