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Quantitative evaluation of the impact of cloud transmittance and cloud velocity on the accuracy of short-term DNI forecasts

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  1. Fan, Jie & Wang, Lei & Zhang, Zhen & Liu, Ming & Cao, Xinyue & Gong, Min & Tang, Qiuping & She, Chao & Qi, Fang & Si, Hucheng & Song, Dan & Zhang, Qiyuan & Xie, Peng, 2024. "Approaches to improve the accuracy of estimating the diffuse fraction of 1-min resolution global horizontal irradiance using cloud images," Renewable Energy, Elsevier, vol. 230(C).
  2. Liu, Bingchun & Zhao, Shunfan & Zheng, Shize & Zhang, Fukai & Li, Zefeng & Gao, Xu & Wang, Ying, 2025. "Assessing the potential impact of aerosol scenarios for rooftop PV regional deployment," Renewable Energy, Elsevier, vol. 246(C).
  3. Wang, Fei & Lu, Xiaoxing & Mei, Shengwei & Su, Ying & Zhen, Zhao & Zou, Zubing & Zhang, Xuemin & Yin, Rui & Duić, Neven & Shafie-khah, Miadreza & Catalão, João P.S., 2022. "A satellite image data based ultra-short-term solar PV power forecasting method considering cloud information from neighboring plant," Energy, Elsevier, vol. 238(PC).
  4. Feng, Cong & Zhang, Jie & Zhang, Wenqi & Hodge, Bri-Mathias, 2022. "Convolutional neural networks for intra-hour solar forecasting based on sky image sequences," Applied Energy, Elsevier, vol. 310(C).
  5. Peña-Cruz, Manuel I. & Díaz-Ponce, Arturo & Sánchez-Segura, César D. & Valentín-Coronado, Luis & Moctezuma, Daniela, 2024. "Short-term forecast of solar irradiance components using an alternative mathematical approach for the identification of cloud features," Renewable Energy, Elsevier, vol. 237(PC).
  6. Nie, Yuhao & Li, Xiatong & Paletta, Quentin & Aragon, Max & Scott, Andea & Brandt, Adam, 2024. "Open-source sky image datasets for solar forecasting with deep learning: A comprehensive survey," Renewable and Sustainable Energy Reviews, Elsevier, vol. 189(PB).
  7. Liao, Zhouyi & Coimbra, Carlos F.M., 2024. "Hybrid solar irradiance nowcasting and forecasting with the SCOPE method and convolutional neural networks," Renewable Energy, Elsevier, vol. 232(C).
  8. Wang, Anming & Liu, Jiping & Liu, Ming & Li, Gen & Yan, Junjie, 2019. "Dynamic modeling and behavior of parabolic trough concentrated solar power system under cloudy conditions," Energy, Elsevier, vol. 177(C), pages 106-120.
  9. Guo, Su & Liu, Deyou & Chu, Yinghao & Chen, Xingying & Xu, Chang & Liu, Qunming & Guo, Tiezheng, 2017. "Dynamic behavior and transfer function of collector field in once-through DSG solar trough power plants," Energy, Elsevier, vol. 121(C), pages 513-523.
  10. Chu, Yinghao & Li, Mengying & Pedro, Hugo T.C. & Coimbra, Carlos F.M., 2022. "A network of sky imagers for spatial solar irradiance assessment," Renewable Energy, Elsevier, vol. 187(C), pages 1009-1019.
  11. Niu, Yinsen & Song, Jifeng & Zou, Lianglin & Yan, Zixuan & Lin, Xilong, 2024. "Cloud detection method using ground-based sky images based on clear sky library and superpixel local threshold," Renewable Energy, Elsevier, vol. 226(C).
  12. Chen, Shanlin & Li, Chengxi & Xie, Yuying & Li, Mengying, 2023. "Global and direct solar irradiance estimation using deep learning and selected spectral satellite images," Applied Energy, Elsevier, vol. 352(C).
  13. Garcia, Dário & Liang, Dawei & Almeida, Joana & Catela, Miguel & Costa, Hugo & Tibúrcio, Bruno D. & Guillot, Emmanuel & Vistas, Cláudia R., 2023. "Lowest-threshold solar laser operation under cloudy sky condition," Renewable Energy, Elsevier, vol. 210(C), pages 127-133.
  14. García, Jesús M. & Padilla, Ricardo Vasquez & Sanjuan, Marco E., 2016. "A biomimetic approach for modeling cloud shading with dynamic behavior," Renewable Energy, Elsevier, vol. 96(PA), pages 157-166.
  15. Benali, L. & Notton, G. & Fouilloy, A. & Voyant, C. & Dizene, R., 2019. "Solar radiation forecasting using artificial neural network and random forest methods: Application to normal beam, horizontal diffuse and global components," Renewable Energy, Elsevier, vol. 132(C), pages 871-884.
  16. Paulescu, Marius & Paulescu, Eugenia, 2019. "Short-term forecasting of solar irradiance," Renewable Energy, Elsevier, vol. 143(C), pages 985-994.
  17. Ansong, Martin & Ogunniyi, Emmanuel O. & Jiménez, Blanca Pérez & Richards, Bryce S., 2025. "Renewable energy powered membrane technology: Integration of solar irradiance forecasting for predictive control of photovoltaic-powered brackish water desalination system," Applied Energy, Elsevier, vol. 401(PA).
  18. Zang, Haixiang & Chen, Dianhao & Liu, Jingxuan & Cheng, Lilin & Sun, Guoqiang & Wei, Zhinong, 2024. "Improving ultra-short-term photovoltaic power forecasting using a novel sky-image-based framework considering spatial-temporal feature interaction," Energy, Elsevier, vol. 293(C).
  19. Zhu, Tingting & Wei, Haikun & Zhao, Xin & Zhang, Chi & Zhang, Kanjian, 2017. "Clear-sky model for wavelet forecast of direct normal irradiance," Renewable Energy, Elsevier, vol. 104(C), pages 1-8.
  20. Lin, Fan & Zhang, Yao & Wang, Jianxue, 2023. "Recent advances in intra-hour solar forecasting: A review of ground-based sky image methods," International Journal of Forecasting, Elsevier, vol. 39(1), pages 244-265.
  21. Zhang, Peiye & Liu, Ming & Mu, Ruiqi & Yan, Junjie, 2024. "Exergy-based control strategy design and dynamic performance enhancement for parabolic trough solar receiver-reactor of methanol decomposition reaction," Renewable Energy, Elsevier, vol. 224(C).
  22. Chen, Shanlin & Li, Mengying, 2022. "Improved turbidity estimation from local meteorological data for solar resourcing and forecasting applications," Renewable Energy, Elsevier, vol. 189(C), pages 259-272.
  23. Chu, Yinghao & Coimbra, Carlos F.M., 2017. "Short-term probabilistic forecasts for Direct Normal Irradiance," Renewable Energy, Elsevier, vol. 101(C), pages 526-536.
  24. Christopher E. Piggott & Zachary Caruso & Nenad G. Nenadic, 2023. "Low-Cost Communication Interface between a Smart Meter and a Smart Inverter," Energies, MDPI, vol. 16(5), pages 1-25, March.
  25. Yan, Hui & Liu, Ming & Wang, Zhu & Zhang, Kezhen & Chong, Daotong & Yan, Junjie, 2023. "Flexibility enhancement of solar-aided coal-fired power plant under different direct normal irradiance conditions," Energy, Elsevier, vol. 262(PA).
  26. Guo, Su & Liu, Deyou & Chen, Xingying & Chu, Yinghao & Xu, Chang & Liu, Qunming & Zhou, Ling, 2017. "Model and control scheme for recirculation mode direct steam generation parabolic trough solar power plants," Applied Energy, Elsevier, vol. 202(C), pages 700-714.
  27. Zhang, Peiye & Liu, Ming & Zhao, Yongliang & Yan, Junjie, 2023. "Performance analysis on the parabolic trough solar receiver-reactor of methanol decomposition reaction under off-design conditions and during dynamic processes," Renewable Energy, Elsevier, vol. 205(C), pages 583-597.
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