A lightweight time series method for prediction of solar radiation
Author:
Publisher
Springer Science and Business Media LLC
Link
https://link.springer.com/content/pdf/10.1007/s12667-024-00657-9.pdf
Reference87 articles.
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4. Aggarwal, S.K., Saini, L.M.: Solar energy prediction using linear and non-linear regularization models: a study on AMS (American Meteorological Society) 2013–14 solar energy prediction contest. Energy 78, 247–256 (2014). https://doi.org/10.1016/j.energy.2014.10.012
5. Al Shalabi, L., Shaaban, Z.: Normalization as a preprocessing engine for data mining and the approach of preference matrix. In: 2006 International Conference on Dependability of Computer Systems, pp. 207–214. https://doi.org/10.1109/DEPCOS-RELCOMEX.2006.38 (2006)
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