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References and further reading

  • Chambers, J.; Computationally scalable geospatial network and routing analysis through multi-level spatial clustering — 2020. 10.1016/j.mex.2020.101072
  • Chambers, J., Narula, K., Sulzer, M., & Patel, M.; Mapping district heating potential under evolving thermal demand scenarios and technologies: A case study for Switzerland — 2019. 10.1016/j.energy.2019.03.181
  • Chambers, J., Rittman-Frank, M., & Patel, M.; Presentation of new geospatial datasets for renewable thermal energy systems modelling in Switzerland — 2021.
  • Chambers, J., Zuberi, M. J. S., Streicher, K. N., & Patel, M.; Geospatial global sensitivity analysis of a heat energy service decarbonisation model of the building stock — 2021.
  • Cozza, S., Chambers, J., & Patel, M.; Measuring the thermal energy performance gap of labelled residential buildings in Switzerland — 2020.
  • Cozza, S., Chambers, J., Deb, C., Scartezzini, J. L., Schlüter, A., & Patel, M.; Do energy performance certificates allow reliable predictions of actual energy consumption and savings? Learning from the Swiss national database — 2020.
  • Cozza, S., Chambers, J., Brambilla, A., & Patel, M.; In search of optimal consumption: A review of causes and solutions to the Energy Performance Gap in residential buildings — 2021.
  • Cozza, S., Chambers, J., & Patel, M.; Uncertainty in potential savings from improving energy label: A Monte Carlo study of the Swiss residential buildings — 2022.
  • Li, X., Chambers, J., Yilmaz, S., & Patel, M.; A Monte Carlo building stock model of space cooling demand in the Swiss service sector under climate change — 2021.
  • Li, X., Walch, A., Yilmaz, S., Patel, M., & Chambers, J.; Optimal spatial resource allocation in networks: Application to district heating and cooling — 2022.
  • Narula, K., Chambers, J., Streicher, K. N., & Patel, M.; Strategies for Decarbonising the Swiss Heating System — 2018. 10.1016/j.energy.2018.12.082
  • Streicher, K. N., Mennel, S., Chambers, J., Parra, D., & Patel, M.; Cost-effectiveness of large-scale deep energy retrofit packages for residential buildings under different economic assessment approaches — 2020.
  • Schneider, S., Hollmuller, P., Chambers, J., & Patel, M.; A Heat Demand Load Curve Model of the Swiss National Territory — 2019.
  • Walch, A., Li, X., Castello, R., & Chambers, J. D.; GIS-assisted mapping of shallow geothermal potential for space heating and cooling — 2020.
  • Walch, A., Li, X., Chambers, J., Mohajeri, N., Yilmaz, S., Patel, M., & Scartezzini, J.-L.; Shallow geothermal energy potential for heating and cooling of buildings with regeneration under climate change scenarios — 2022.
  • Zuberi, M. J. S., Narula, K., Klinke, S., Chambers, J., Streicher, K. N., & Patel, M.; Potential and costs of decentralized heat pumps and thermal networks in Swiss residential areas — 2021.