Estimation of sky luminance in the tropics using artificial neural networks: Modeling and performance comparison with the CIE model
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Cited by:
- Mettanant, Vichuda & Chaiwiwatworakul, Pipat & Chirarattananon, Surapong, 2017. "A model of Thai’s sky luminance distribution based on reduced CIE standard sky types," Renewable Energy, Elsevier, vol. 103(C), pages 739-749.
- Li, Danny H.W. & Lou, Siwei & Lam, Joseph C. & Wu, Ronald H.T., 2016. "Determining solar irradiance on inclined planes from classified CIE (International Commission on Illumination) standard skies," Energy, Elsevier, vol. 101(C), pages 462-470.
- Mangkuto, Rizki A. & Rohmah, Mardliyahtur & Asri, Anindya Dian, 2016. "Design optimisation for window size, orientation, and wall reflectance with regard to various daylight metrics and lighting energy demand: A case study of buildings in the tropics," Applied Energy, Elsevier, vol. 164(C), pages 211-219.
- Rodrigues, Eugénio & Gomes, Álvaro & Gaspar, Adélio Rodrigues & Henggeler Antunes, Carlos, 2018. "Estimation of renewable energy and built environment-related variables using neural networks – A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 94(C), pages 959-988.
- Li, Danny H.W. & Chau, T.C. & Wan, Kevin K.W., 2014. "A review of the CIE general sky classification approaches," Renewable and Sustainable Energy Reviews, Elsevier, vol. 31(C), pages 563-574.
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Keywords
Sky luminance Daylight Modeling Artificial neural network The tropics CIE model;Statistics
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