Thermal comfort and energy consumption in modern versus traditional buildings in Cameroon: A questionnaire-based statistical study
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DOI: 10.1016/j.apenergy.2013.10.036
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- Nematchoua, Modeste Kameni & Ricciardi, Paola & Buratti, Cinzia, 2017. "Statistical analysis of indoor parameters an subjective responses of building occupants in a hot region of Indian ocean; a case of Madagascar island," Applied Energy, Elsevier, vol. 208(C), pages 1562-1575.
- Michael M. Santos & Ana Vaz Ferreira & João C. G. Lanzinha, 2022. "Passive Solar Systems for the Promotion of Thermal Comfort in African Countries: A Review," Energies, MDPI, vol. 15(23), pages 1-37, December.
- Łukasz J. Orman & Natalia Krawczyk & Norbert Radek & Stanislav Honus & Jacek Pietraszek & Luiza Dębska & Agata Dudek & Artur Kalinowski, 2023. "Comparative Analysis of Indoor Environmental Quality and Self-Reported Productivity in Intelligent and Traditional Buildings," Energies, MDPI, vol. 16(18), pages 1-21, September.
- Lee-Yong Sung & Jonghoon Ahn, 2020. "Comparative Analyses of Energy Efficiency between on-Demand and Predictive Controls for Buildings’ Indoor Thermal Environment," Energies, MDPI, vol. 13(5), pages 1-15, March.
- Ahn, Jonghoon & Cho, Soolyeon, 2017. "Anti-logic or common sense that can hinder machine’s energy performance: Energy and comfort control models based on artificial intelligence responding to abnormal indoor environments," Applied Energy, Elsevier, vol. 204(C), pages 117-130.
- Zeyad Amin Al-Absi & Mohd Hafizal Mohd Isa & Mazran Ismail, 2020. "Phase Change Materials (PCMs) and Their Optimum Position in Building Walls," Sustainability, MDPI, vol. 12(4), pages 1-25, February.
- Łukasz J. Orman & Grzegorz Majewski & Norbert Radek & Jacek Pietraszek, 2022. "Analysis of Thermal Comfort in Intelligent and Traditional Buildings," Energies, MDPI, vol. 15(18), pages 1-25, September.
- Webb, Amanda L., 2017. "Energy retrofits in historic and traditional buildings: A review of problems and methods," Renewable and Sustainable Energy Reviews, Elsevier, vol. 77(C), pages 748-759.
- Wu, Xianguo & Feng, Zongbao & Chen, Hongyu & Qin, Yawei & Zheng, Shiyi & Wang, Lei & Liu, Yang & Skibniewski, Miroslaw J., 2022. "Intelligent optimization framework of near zero energy consumption building performance based on a hybrid machine learning algorithm," Renewable and Sustainable Energy Reviews, Elsevier, vol. 167(C).
- Nematchoua, Modeste Kameni & Raminosoa, Chrysostôme R.R. & Mamiharijaona, Ramaroson & René, Tchinda & Orosa, José A. & Elvis, Watis & Meukam, Pierre, 2015. "Study of the economical and optimum thermal insulation thickness for buildings in a wet and hot tropical climate: Case of Cameroon," Renewable and Sustainable Energy Reviews, Elsevier, vol. 50(C), pages 1192-1202.
- Łukasz Jan Orman & Natalia Siwczuk & Norbert Radek & Stanislav Honus & Jerzy Zbigniew Piotrowski & Luiza Dębska, 2024. "Comparative Analysis of Subjective Indoor Environment Assessment in Actual and Simulated Conditions," Energies, MDPI, vol. 17(3), pages 1-16, January.
- Mostavi, Ehsan & Asadi, Somayeh & Boussaa, Djamel, 2017. "Development of a new methodology to optimize building life cycle cost, environmental impacts, and occupant satisfaction," Energy, Elsevier, vol. 121(C), pages 606-615.
- Nematchoua, Modeste Kameni & Orosa, José A. & Reiter, Sigrid, 2019. "Energy consumption assessment due to the mobility of inhabitants and multiannual prospective on the horizon 2030–2050 in one Belgium city," Energy, Elsevier, vol. 171(C), pages 523-534.
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Keywords
Statistical study; Questionnaires; Thermal comfort; Energy consumption; Modern and traditional buildings;All these keywords.
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