A novel transfer learning-based short-term solar forecasting approach for India
Author:
Publisher
Springer Science and Business Media LLC
Subject
Artificial Intelligence,Software
Link
https://link.springer.com/content/pdf/10.1007/s00521-022-07328-9.pdf
Reference65 articles.
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3. Perez R, Lorenz E, Pelland S, Beauharnois M, Van Knowe G, Hemker K Jr, Heinemann D, Remund J, Müller SC, Traunmüller W et al (2013) Comparison of numerical weather prediction solar irradiance forecasts in the us, canada and europe. Solar Energy 94:305–326. https://doi.org/10.1016/j.solener.2013.05.005
4. Voyant C, Notton G, Kalogirou S, Nivet M-L, Paoli C, Motte F, Fouilloy A (2017) Machine learning methods for solar radiation forecasting: a review. Renew Energy 105:569–582. https://doi.org/10.1016/j.renene.2016.12.095
5. De Leone R, Pietrini M, Giovannelli A (2015) Photovoltaic energy production forecast using support vector regression. Neural Comput Appl 26(8):1955–1962. https://doi.org/10.1007/s00521-015-1842-y
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