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Anahita Bigtashi ORCID

The following bibliography contains all publications indexed in this database that are linked with this name as either author, editor or any other kind of contributor.

  1. Papakyriakou, Ashleigh / Bigtashi, Anahita / Lee, Bruno (2024): Evaluating the applicability of a machine learning methodology to improve TMY weather file generation for different Canadian climate zones. In: Journal of Building Engineering, v. 95 (October 2024).

    https://doi.org/10.1016/j.jobe.2024.110096

  2. Sokhansefat, Tahmineh / Bigtashi, Anahita / Lee, Bruno (2024): A data mining-based framework to define optimal operation strategies for in-duct ultraviolet germicidal irradiation systems for different climatic conditions. In: Journal of Building Engineering, v. 89 (July 2024).

    https://doi.org/10.1016/j.jobe.2024.109227

  3. Bigtashi, Anahita / Papakyriakou, Ashleigh / Lee, Bruno (2024): Defining generation parameters with an adaptable data-driven approach to construct typical meteorological year weather files. In: Energy and Buildings, v. 303 (January 2024).

    https://doi.org/10.1016/j.enbuild.2023.113781

  4. Hosseini, Mirata / Bigtashi, Anahita / Lee, Bruno (2021): Generating future weather files under climate change scenarios to support building energy simulation – A machine learning approach. In: Energy and Buildings, v. 230 (January 2021).

    https://doi.org/10.1016/j.enbuild.2020.110543

  5. Hosseini, Mirata / Bigtashi, Anahita / Lee, Bruno (2020): A systematic approach in constructing typical meteorological year weather files using machine learning. In: Energy and Buildings, v. 226 (November 2020).

    https://doi.org/10.1016/j.enbuild.2020.110375

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