Geospatial global sensitivity analysis of a heat energy service decarbonisation model of the building stock
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DOI: 10.1016/j.apenergy.2021.117592
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Cited by:
- Zhang, Feng & Wang, Xinhe & Hou, Xinting & Han, Cheng & Wu, Mingying & Liu, Zhongbing, 2022. "Variance-based global sensitivity analysis of a hybrid thermoelectric generator fuzzy system," Applied Energy, Elsevier, vol. 307(C).
- Abdulraheem Salaymeh & Irene Peters & Stefan Holler, 2024. "Factoring Building Refurbishment and Climatic Effect into Heat Demand Assessments and Forecasts: Case Study and Open Datasets for Germany," Energies, MDPI, vol. 17(3), pages 1-21, January.
- Aunedi, Marko & Olympios, Andreas V. & Pantaleo, Antonio M. & Markides, Christos N. & Strbac, Goran, 2023. "System-driven design and integration of low-carbon domestic heating technologies," Renewable and Sustainable Energy Reviews, Elsevier, vol. 187(C).
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Keywords
Geospatial; Sensitivity analysis; Heat; Decarbonisation; Building stock; Efficiency;All these keywords.
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