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Die folgende Bibliografie enthält alle in dieser Datenbank indizierten Veröffentlichungen, die mit diesem Namen als Autor, Herausgeber oder anderweitig Beitragenden verbunden sind.

  1. Cole, Rebecca / Evins, Ralph / Eames, Matt (2023): An empirical review of methods to assess overheating in buildings in the context of changes to extreme heat events. In: Journal of Building Performance Simulation, v. 17, n. 3 (Oktober 2023).

    https://doi.org/10.1080/19401493.2023.2276711

  2. Cant, Kevin / Evins, Ralph (2022): Improved calibration of building models using approximate Bayesian calibration and neural networks. In: Journal of Building Performance Simulation, v. 16, n. 3 (Oktober 2022).

    https://doi.org/10.1080/19401493.2022.2137236

  3. Baasch, Gaby / Westermann, Paul / Evins, Ralph (2021): Identifying whole-building heat loss coefficient from heterogeneous sensor data: An empirical survey of gray and black box approaches. In: Energy and Buildings, v. 241 (Juni 2021).

    https://doi.org/10.1016/j.enbuild.2021.110889

  4. Waibel, Christoph / Mavromatidis, Georgios / Evins, Ralph / Carmeliet, Jan (2019): A comparison of building energy optimization problems and mathematical test functions using static fitness landscape analysis. In: Journal of Building Performance Simulation, v. 12, n. 6 (November 2019).

    https://doi.org/10.1080/19401493.2019.1671897

  5. Evins, Ralph / Alexandra, Ross / Wiebe, Ed / Wood, Michael / Eames, Matthew (2020): The impact of local variations in a temperate maritime climate on building energy use. In: Journal of Building Performance Simulation, v. 13, n. 2 (Januar 2020).

    https://doi.org/10.1080/19401493.2018.1536167

  6. Evins, Ralph (2015): A bi-level design and operation optimization process applied to an energy centre. In: Journal of Building Performance Simulation, v. 9, n. 3 (August 2015).

    https://doi.org/10.1080/19401493.2015.1045034

  7. Evins, Ralph / Orehounig, Kristina / Dorer, Viktor (2015): Variability between domestic buildings: the impact on energy use. In: Journal of Building Performance Simulation, v. 9, n. 2 (April 2015).

    https://doi.org/10.1080/19401493.2015.1006526

  8. Evins, Ralph / Dorer, Viktor / Carmeliet, Jan (2014): Simulating external longwave radiation exchange for buildings. In: Energy and Buildings, v. 75 (Juni 2014).

    https://doi.org/10.1016/j.enbuild.2014.02.030

  9. Orehounig, Kristina / Mavromatidis, Georgios / Evins, Ralph / Dorer, Viktor / Carmeliet, Jan (2014): Towards an energy sustainable community: An energy system analysis for a village in Switzerland. In: Energy and Buildings, v. 84 (Dezember 2014).

    https://doi.org/10.1016/j.enbuild.2014.08.012

  10. Westermann, Paul / Evins, Ralph (2019): Surrogate modelling for sustainable building design – A review. In: Energy and Buildings, v. 198 (September 2019).

    https://doi.org/10.1016/j.enbuild.2019.05.057

  11. Waibel, Christoph / Wortmann, Thomas / Evins, Ralph / Carmeliet, Jan (2019): Building energy optimization: An extensive benchmark of global search algorithms. In: Energy and Buildings, v. 187 (März 2019).

    https://doi.org/10.1016/j.enbuild.2019.01.048

  12. Bowley, Wesley / Evins, Ralph (2020): Assessing energy and emissions savings for space conditioning, materials and transportation for a high-density mixed-use building. In: Journal of Building Engineering, v. 31 (September 2020).

    https://doi.org/10.1016/j.jobe.2020.101386

  13. Evins, Ralph / Pointer, Philip / Vaidyanathan, Ravi / Burgess, Stuart (2012): A case study exploring regulated energy use in domestic buildings using design-of-experiments and multi-objective optimisation. In: Building and Environment, v. 54 (August 2012).

    https://doi.org/10.1016/j.buildenv.2012.02.012

  14. Evins, Ralph / Joyce, Sam Conrad / Pointer, Philip / Sharma, Shrikant / Vaidyanathan, Ravi / Williams, Chris (2012): Multi-objective design optimisation: getting more for less. In: Proceedings of the Institution of Civil Engineers - Civil Engineering, v. 165, n. 5 (Mai 2012).

    https://doi.org/10.1680/cien.11.00014

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