Estimating daily global solar radiation by day of year in China

By Huashan Li, Wei-bin Ma, Y. Lian, Xianlong Wang. 2010

126 citations recorded by the source corpus.

In this study, a new empirical model is proposed for estimating daily global solar radiation on a horizontal surface by the day of the year. The performance of the proposed model is validated by comparing with three trigonometric correlations at nine representative stations of China using statistical error tests such as the mean absolute percentage error (MAPE), mean absolute bias error (MABE), root mean square error (RMSE) and correlation coefficients (r). The results show that the new model provides better estimation and has good adaptability to highly variable weather conditions. Then the application of the methodology is performed for the other 70 meteorological stations across China.

Subfields: Artificial Intelligence, Renewable Energy, Sustainability and the Environment

View Paper: https://www.semanticscholar.org/paper/a965e60ed89bc28ad446a812be75f99ef102dd3b

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In Artificial Intelligence

  1. Chong Wen Tong
  2. Shahaboddin Shamshirband
  3. Dalibor Petkovic
  4. Kasra Mohammadi
  5. Khubaib Amjad Alam
  6. J. Almorox

In Renewable Energy, Sustainability and the Environment

  1. Shahaboddin Shamshirband
  2. Chong Wen Tong
  3. Dalibor Petkovic
  4. Khubaib Amjad Alam
  5. J. Almorox
  6. Kasra Mohammadi

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