IDEAS home Printed from https://ideas.repec.org/r/eee/energy/v92y2015ip3p466-475.html
   My bibliography  Save this item

Agent based modelling and energy planning – Utilization of MATSim for transport energy demand modelling

Citations

Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
as


Cited by:

  1. Østergaard, P.A. & Lund, H. & Thellufsen, J.Z. & Sorknæs, P. & Mathiesen, B.V., 2022. "Review and validation of EnergyPLAN," Renewable and Sustainable Energy Reviews, Elsevier, vol. 168(C).
  2. Chang, Miguel & Lund, Henrik & Thellufsen, Jakob Zinck & Østergaard, Poul Alberg, 2023. "Perspectives on purpose-driven coupling of energy system models," Energy, Elsevier, vol. 265(C).
  3. Saadi, Ismaïl & Mustafa, Ahmed & Teller, Jacques & Cools, Mario, 2018. "Investigating the impact of river floods on travel demand based on an agent-based modeling approach: The case of Liège, Belgium," Transport Policy, Elsevier, vol. 67(C), pages 102-110.
  4. Tan, Kang Miao & Ramachandaramurthy, Vigna K. & Yong, Jia Ying, 2016. "Optimal vehicle to grid planning and scheduling using double layer multi-objective algorithm," Energy, Elsevier, vol. 112(C), pages 1060-1073.
  5. Groppi, Daniele & Nastasi, Benedetto & Prina, Matteo Giacomo, 2022. "The EPLANoptMAC model to plan the decarbonisation of the maritime transport sector of a small island," Energy, Elsevier, vol. 254(PA).
  6. Pfeifer, Antun & Dobravec, Viktorija & Pavlinek, Luka & Krajačić, Goran & Duić, Neven, 2018. "Integration of renewable energy and demand response technologies in interconnected energy systems," Energy, Elsevier, vol. 161(C), pages 447-455.
  7. Lucio Ciabattoni & Stefano Cardarelli & Marialaura Di Somma & Giorgio Graditi & Gabriele Comodi, 2021. "A Novel Open-Source Simulator Of Electric Vehicles in a Demand-Side Management Scenario," Energies, MDPI, vol. 14(6), pages 1-16, March.
  8. Jalil-Vega, Francisca & García Kerdan, Iván & Hawkes, Adam D., 2020. "Spatially-resolved urban energy systems model to study decarbonisation pathways for energy services in cities," Applied Energy, Elsevier, vol. 262(C).
  9. Yazdanie, M. & Orehounig, K., 2021. "Advancing urban energy system planning and modeling approaches: Gaps and solutions in perspective," Renewable and Sustainable Energy Reviews, Elsevier, vol. 137(C).
  10. Nazari-Heris, Morteza & Loni, Abdolah & Asadi, Somayeh & Mohammadi-ivatloo, Behnam, 2022. "Toward social equity access and mobile charging stations for electric vehicles: A case study in Los Angeles," Applied Energy, Elsevier, vol. 311(C).
  11. Jiri Horak & Jan Tesla & David Fojtik & Vit Vozenilek, 2019. "Modelling Public Transport Accessibility with Monte Carlo Stochastic Simulations: A Case Study of Ostrava," Sustainability, MDPI, vol. 11(24), pages 1-25, December.
  12. Sedlar, D. Karasalihović & Vulin, D. & Krajačić, G. & Jukić, L., 2019. "Offshore gas production infrastructure reutilisation for blue energy production," Renewable and Sustainable Energy Reviews, Elsevier, vol. 108(C), pages 159-174.
  13. Bellocchi, Sara & Manno, Michele & Noussan, Michel & Prina, Matteo Giacomo & Vellini, Michela, 2020. "Electrification of transport and residential heating sectors in support of renewable penetration: Scenarios for the Italian energy system," Energy, Elsevier, vol. 196(C).
  14. Jun Liu & Kara M. Kockelman & Patrick M. Boesch & Francesco Ciari, 2017. "Tracking a system of shared autonomous vehicles across the Austin, Texas network using agent-based simulation," Transportation, Springer, vol. 44(6), pages 1261-1278, November.
  15. Graabak, Ingeborg & Wu, Qiuwei & Warland, Leif & Liu, Zhaoxi, 2016. "Optimal planning of the Nordic transmission system with 100% electric vehicle penetration of passenger cars by 2050," Energy, Elsevier, vol. 107(C), pages 648-660.
  16. Herc, Luka & Pfeifer, Antun & Duić, Neven, 2022. "Optimization of the possible pathways for gradual energy system decarbonization," Renewable Energy, Elsevier, vol. 193(C), pages 617-633.
  17. Herc, Luka & Pfeifer, Antun & Duić, Neven & Wang, Fei, 2022. "Economic viability of flexibility options for smart energy systems with high penetration of renewable energy," Energy, Elsevier, vol. 252(C).
  18. Chang, Miguel & Thellufsen, Jakob Zink & Zakeri, Behnam & Pickering, Bryn & Pfenninger, Stefan & Lund, Henrik & Østergaard, Poul Alberg, 2021. "Trends in tools and approaches for modelling the energy transition," Applied Energy, Elsevier, vol. 290(C).
  19. Metais, M.O. & Jouini, O. & Perez, Y. & Berrada, J. & Suomalainen, E., 2022. "Too much or not enough? Planning electric vehicle charging infrastructure: A review of modeling options," Renewable and Sustainable Energy Reviews, Elsevier, vol. 153(C).
  20. Seddig, Katrin & Jochem, Patrick & Fichtner, Wolf, 2017. "Integrating renewable energy sources by electric vehicle fleets under uncertainty," Energy, Elsevier, vol. 141(C), pages 2145-2153.
  21. Li, Li & Wang, Jing & Zhong, Xiaoyi & Lin, Jian & Wu, Nianyuan & Zhang, Zhihui & Meng, Chao & Wang, Xiaonan & Shah, Nilay & Brandon, Nigel & Xie, Shan & Zhao, Yingru, 2022. "Combined multi-objective optimization and agent-based modeling for a 100% renewable island energy system considering power-to-gas technology and extreme weather conditions," Applied Energy, Elsevier, vol. 308(C).
  22. Guzović, Zvonimir & Duic, Neven & Piacentino, Antonio & Markovska, Natasa & Mathiesen, Brian Vad & Lund, Henrik, 2022. "Recent advances in methods, policies and technologies at sustainable energy systems development," Energy, Elsevier, vol. 245(C).
  23. Francesco Calise & Maria Vicidomini & Mário Costa & Qiuwang Wang & Poul Alberg Østergaard & Neven Duić, 2019. "Toward an Efficient and Sustainable Use of Energy in Industries and Cities," Energies, MDPI, vol. 12(16), pages 1-28, August.
  24. Kraan, O. & Kramer, G.J. & Nikolic, I., 2018. "Investment in the future electricity system - An agent-based modelling approach," Energy, Elsevier, vol. 151(C), pages 569-580.
  25. Bačeković, Ivan & Østergaard, Poul Alberg, 2018. "Local smart energy systems and cross-system integration," Energy, Elsevier, vol. 151(C), pages 812-825.
  26. Lovelace, Robin & Parkin, John & Cohen, Tom, 2020. "Open access transport models: A leverage point in sustainable transport planning," Transport Policy, Elsevier, vol. 97(C), pages 47-54.
  27. Horak, Daniel & Hainoun, Ali & Neugebauer, Georg & Stoeglehner, Gernot, 2022. "A review of spatio-temporal urban energy system modeling for urban decarbonization strategy formulation," Renewable and Sustainable Energy Reviews, Elsevier, vol. 162(C).
  28. Ning, Jingjie & Zhou, Yonghua & Long, Fengchu & Tao, Xin, 2018. "A synergistic energy-efficient planning approach for urban rail transit operations," Energy, Elsevier, vol. 151(C), pages 854-863.
  29. Daniele Menniti & Anna Pinnarelli & Nicola Sorrentino & Pasquale Vizza & Giovanni Brusco & Giuseppe Barone & Gianluca Marano, 2022. "Techno Economic Analysis of Electric Vehicle Grid Integration Aimed to Provide Network Flexibility Services in Italian Regulatory Framework," Energies, MDPI, vol. 15(7), pages 1-34, March.
  30. Francesco Calise & Mário Costa & Qiuwang Wang & Xiliang Zhang & Neven Duić, 2018. "Recent Advances in the Analysis of Sustainable Energy Systems," Energies, MDPI, vol. 11(10), pages 1-30, September.
  31. Raymond Kene & Thomas Olwal & Barend J. van Wyk, 2021. "Sustainable Electric Vehicle Transportation," Sustainability, MDPI, vol. 13(22), pages 1-16, November.
IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.