A framework for regional smart energy planning using volunteered geographic information
Cited articles
Abbasabadi, N. and Ashayeri, M.: Urban energy use modeling methods and
tools: A review and an outlook, Build. Environ., 161, 106270,
https://doi.org/10.1016/j.buildenv.2019.106270, 2019.
Abdulrahman, I. and Radman, G.: Power system spatial analysis and
visualization using geographic information system (GIS), Spat. Inf. Res.,
28, 101–112, https://doi.org/10.1007/s41324-019-00276-y, 2020.
Alhamwi, A., Medjroubi, W., Vogt, T., and Agert, C.: GIS-based urban energy
systems models and tools: Introducing a model for the optimisation of
flexibilisation technologies in urban areas, Appl. Energ., 191, 1–9,
https://doi.org/10.1016/j.apenergy.2017.01.048, 2017.
Alhamwi, A., Medjroubi, W., Vogt, T., and Agert, C: Development of a
GIS-based platform for the allocation and optimisation of distributed
storage in urban energy systems, Appl. Energ., 251, 113360, https://doi.org/10.1016/j.apenergy.2019.113360, 2019.
Amme, J., Pleßmann, G., Buhler, J., Hulk, L., Kotter, E., and Schwaegerl,
P.: 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, https://doi.org/10.1016/j.ejor.2018.01.036, 2018.