Improved multiple linear regression based models for solar collectors
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DOI: 10.1016/j.renene.2016.01.056
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References listed on IDEAS
- Kicsiny, Richárd, 2015. "Transfer functions of solar heating systems for dynamic analysis and control design," Renewable Energy, Elsevier, vol. 77(C), pages 64-78.
- Kalogirou, Soteris A., 2000. "Applications of artificial neural-networks for energy systems," Applied Energy, Elsevier, vol. 67(1-2), pages 17-35, September.
- Buonomano, A. & Calise, F. & Palombo, A., 2013. "Solar heating and cooling systems by CPVT and ET solar collectors: A novel transient simulation model," Applied Energy, Elsevier, vol. 103(C), pages 588-606.
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Cited by:
- Kicsiny, Richárd, 2018. "Black-box model for solar storage tanks based on multiple linear regression," Renewable Energy, Elsevier, vol. 125(C), pages 857-865.
- Fan, Man & Liang, Hongbo & You, Shijun & Zhang, Huan & Yin, Baoquan & Wu, Xiaoting, 2018. "Applicability analysis of the solar heating system with parabolic trough solar collectors in different regions of China," Applied Energy, Elsevier, vol. 221(C), pages 100-111.
- Tronchin, Lamberto & Manfren, Massimiliano & James, Patrick AB., 2018. "Linking design and operation performance analysis through model calibration: Parametric assessment on a Passive House building," Energy, Elsevier, vol. 165(PA), pages 26-40.
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Keywords
Solar collectors; Mathematical modelling; Black-box model; Multiple linear regression; Polynomial regression;All these keywords.
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