Forecasting Solar Radiation Using Machine Learning Method: New Optimization Algorithm
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Publisher
Springer International Publishing
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https://link.springer.com/content/pdf/10.1007/978-3-031-22375-4_56
Reference17 articles.
1. Yin, X., Li, J., Kadry, S.N., Sanz-Prieto, I.: Artificial intelligence assisted intelligent planning framework for environmental restoration of terrestrial ecosystems. Environ. Imp. Assess. Rev. 86, 106493 (2021). https://doi.org/10.1016/j.eiar.2020.106493
2. Ahmed, R., Sreeram, V., Mishra, Y., Arif, M.D.: A review and evaluation of the state-of-the-art in PV solar power forecasting: techniques and optimization (2020)
3. Yang, D., Kleissl, J., Gueymard, C.A., Pedro, H.T.C., Coimbra, C.F.M.: History and trends in solar irradiance and PV power forecasting: a preliminary assessment and review using text mining. Sol. Energy. 168, 60–101 (2018). https://doi.org/10.1016/j.solener.2017.11.023
4. Bajaj, M., Singh, A.K.: Grid integrated renewable DG systems: a review of power quality challenges and state-of-the-art mitigation techniques. Int. J. Energy Res. 44, 26–69 (2020). https://doi.org/10.1002/er.4847
5. Liang, X.: Emerging power quality challenges due to integration of renewable energy sources. IEEE Trans. Ind. Appl. 53, 855–866 (2017). https://doi.org/10.1109/TIA.2016.2626253
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