Intraday Solar Irradiance Forecasting Based on Hybrid Machine Learning Methodology for Photovoltaic Power Applications
Author:
Publisher
Springer Nature Switzerland
Link
https://link.springer.com/content/pdf/10.1007/978-3-031-62042-3_2
Reference23 articles.
1. Haider, S. A., Sajid, M., Sajid, H., Uddin, E., & Ayaz, Y. (2022, October). Deep learning and statistical methods for short- and long-term solar irradiance forecasting for Islamabad. Renewable Energy, 198, 51–60. https://doi.org/10.1016/j.renene.2022.07.136
2. Jalali, S. M. J., Ahmadian, S., Kavousi-Fard, A., Khosravi, A., & Nahavandi, S. (2022, January). Automated deep CNN-LSTM architecture Design for Solar Irradiance Forecasting. IEEE Transactions on Systems, Man, and Cybernetics: Systems, 52(1), 54–65. https://doi.org/10.1109/TSMC.2021.3093519
3. Bouzgou, H., & Gueymard, C. A. (2019, April). Fast short-term global solar irradiance forecasting with wrapper mutual information. Renewable Energy, 133, 1055–1065. https://doi.org/10.1016/j.renene.2018.10.096
4. David, M., Luis, M. A., & Lauret, P. (2018, July). Comparison of intraday probabilistic forecasting of solar irradiance using only endogenous data. International Journal of Forecasting, 34(3), 529–547. https://doi.org/10.1016/j.ijforecast.2018.02.003
5. Alonso, J., & Batlles, F. J. (2014, August). Short and medium-term cloudiness forecasting using remote sensing techniques and sky camera imagery. Energy, 73, 890–897. https://doi.org/10.1016/j.energy.2014.06.101
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