Calibration of GFS Solar Irradiation Forecasts: A Case Study in Romania
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- Ahmed Mazin Majid AL-Qaysi & Altug Bozkurt & Yavuz Ates, 2023. "Load Forecasting Based on Genetic Algorithm–Artificial Neural Network-Adaptive Neuro-Fuzzy Inference Systems: A Case Study in Iraq," Energies, MDPI, vol. 16(6), pages 1-20, March.
- Nonthawat Khortsriwong & Promphak Boonraksa & Terapong Boonraksa & Thipwan Fangsuwannarak & Asada Boonsrirat & Watcharakorn Pinthurat & Boonruang Marungsri, 2023. "Performance of Deep Learning Techniques for Forecasting PV Power Generation: A Case Study on a 1.5 MWp Floating PV Power Plant," Energies, MDPI, vol. 16(5), pages 1-21, February.
- Paulescu, Marius & Paulescu, Eugenia, 2019. "Short-term forecasting of solar irradiance," Renewable Energy, Elsevier, vol. 143(C), pages 985-994.
- Mayer, Martin János & Yang, Dazhi, 2023. "Calibration of deterministic NWP forecasts and its impact on verification," International Journal of Forecasting, Elsevier, vol. 39(2), pages 981-991.
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- Weyll, Arthur Lúcide Cotta & Kitagawa, Yasmin Kaore Lago & Araujo, Mirella Lima Saraiva & Ramos, Diogo Nunes da Silva & Lima, Francisco José Lopes de & Santos, Thalyta Soares dos & Jacondino, William , 2024. "Medium-term forecasting of global horizontal solar radiation in Brazil using machine learning-based methods," Energy, Elsevier, vol. 300(C).
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Keywords
solar irradiation; GFS forecast; machine learning; sky imager; calibration;All these keywords.
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