Instant solar irradiation forecasting for solar power plants using different ANN algorithms and network models
Author:
Publisher
Springer Science and Business Media LLC
Subject
Applied Mathematics,Electrical and Electronic Engineering
Link
https://link.springer.com/content/pdf/10.1007/s00202-023-02067-z.pdf
Reference53 articles.
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2. Kurniawan A, Shintaku E (2021) Two-step artificial neural network to estimate the solar radiation at Java Island. Int J Electric Comput Eng (2088-8708). https://doi.org/10.11591/ijece.v11i4.pp3559-3566
3. Ben Othman A, Belkilani K, Besbes M (2020) Prediction improvement of potential PV production pattern, imagery satellite-based. Sci Rep 10(1):1–10. https://doi.org/10.1038/s41598-020-76957-8
4. Ağbulut Ü, Gürel AE, Biçen Y (2021) Prediction of daily global solar radiation using different machine learning algorithms: evaluation and comparison. Renew Sustain Energy Rev 135:110114. https://doi.org/10.1016/j.rser.2020.110114
5. Premalatha M, Naveen C (2018) Analysis of different combinations of meteorological parameters in predicting the horizontal global solar radiation with ANN approach: a case study. Renew Sustain Energy Rev 91:248–258. https://doi.org/10.1016/j.rser.2018.03.096
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