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1. Cloud Cover Forecast Based on Correlation Analysis on Satellite Images for Short-Term Photovoltaic Power Forecasting. (2022). Son, Yongju ; Yoon, Yeunggurl ; Choi, Sungyun.
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2. Parameter Evaluation in Motion Estimation for Forecasting Multiple Photovoltaic Power Generation. (2022). Kameda, Yusuke ; Kure, Taiki ; Kondoh, Junji ; Yamamoto, Hiroki ; Tsuchiya, Haruka Danil ; Kodaira, Daisuke.
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3. Advanced Forecasting Methods of 5-Minute Power Generation in a PV System for Microgrid Operation Control. (2022). Kapler, Piotr ; Piotrowski, Pawe ; Parol, Mirosaw ; Fetliski, Bartosz.
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4. Robust Scheduling of Networked Microgrids for Economics and Resilience Improvement. (2022). Ollis, Thomas B ; Ferrari, Maximiliano F ; Tomsovic, Kevin ; Liu, Guodong ; Sundararajan, Aditya.
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5. Comparison of machine learning methods for photovoltaic power forecasting based on numerical weather prediction. (2022). Mayer, Martin Janos ; Markovics, David.
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6. A review of behind-the-meter solar forecasting. (2022). Doubleday, Kate ; Feng, Cong ; Erdener, Burcin Cakir ; Hodge, Bri-Mathias ; Florita, Anthony.
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7. Analysis of data errors in the solar photovoltaic monitoring system database: An overview of nationwide power plants in Korea. (2022). Cha, Suk-Won ; Choi, Jongwoo ; Lee, Il-Woo.
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8. The uncertainties involved in measuring national solar photovoltaic electricity generation. (2022). Tilley, K ; Taylor, J ; Harwood, J ; Briggs, J ; Everard, A ; Buckley, A ; Huxley, O T.
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9. A review of very short-term wind and solar power forecasting. (2022). Tawn, R ; Browell, J.
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10. Time series forecasting for hourly photovoltaic power using conditional generative adversarial network and Bi-LSTM. (2022). Tai, Yonghang ; Huang, Xiaoqiao ; Liu, Wuming ; Shi, Junsheng ; Chen, Zaiqing.
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11. Improved solar photovoltaic energy generation forecast using deep learning-based ensemble stacking approach. (2022). Zeiler, Wim ; Khan, Waqas ; Walker, Shalika.
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12. Comparative study of machine learning approaches for predicting short-term photovoltaic power output based on weather type classification. (2022). Sun, Yunlin ; Wang, Xiaoyang ; Peng, Jinqing ; Luo, Duo.
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13. Using deep learning and meteorological parameters to forecast the photovoltaic generators intra-hour output power interval for smart grid control. (2022). Vasquez, Juan C ; Guerrero, Josep M ; Rodriguez, Fermin ; Galarza, Ainhoa.
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14. Probability density forecasts for natural gas demand in China: Do mixed-frequency dynamic factors matter?. (2022). Zhao, Zhongchao ; Ding, Lili ; Wang, Lei.
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15. Hour-ahead photovoltaic generation forecasting method based on machine learning and multi objective optimization algorithm. (2022). Li, Zhiwu ; Zhou, Yilin ; Wang, Jianzhou.
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16. An interpretable probabilistic model for short-term solar power forecasting using natural gradient boosting. (2022). Lens, Hendrik ; Mitrentsis, Georgios.
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17. Novel machine learning approach for solar photovoltaic energy output forecast using extra-terrestrial solar irradiance. (2022). Cai, Zuansi ; Fjelkestam, Cornelia A.
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18. Hybrid Forecasting Methodology for Wind Power-Photovoltaic-Concentrating Solar Power Generation Clustered Renewable Energy Systems. (2021). Zheng, Zixuan ; Xiao, Xianyong ; Pang, Simian ; Xu, Lanlan ; Luo, Fan.
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19. Comparison and Explanation of Forecasting Algorithms for Energy Time Series. (2021). Zhang, Yuyi ; Liu, Xiuxiu ; Ma, Ruimin ; Petrosian, Ovanes ; Krinkin, Kirill.
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20. Hour-Ahead Photovoltaic Output Forecasting Using Wavelet-ANFIS. (2021). Chang, Yu-Ming ; Tan, Shih-Wei ; Ouedraogo, Faouzi Brice ; Larasati, Devita Ayu ; Chen, Chao-Rong.
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21. A Probabilistic Ensemble Prediction Method for PV Power in the Nonstationary Period. (2021). An, Yuan ; Shi, Xiaoyu ; Jia, Rong ; Huang, Qiang ; Zhang, Kai ; Dang, Kaikai.
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22. Exploitation of a New Short-Term Multimodel Photovoltaic Power Forecasting Method in the Very Short-Term Horizon to Derive a Multi-Time Scale Forecasting System. (2021). Collino, Elena ; Ronzio, Dario.
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23. Improving Forecast Reliability for Geographically Distributed Photovoltaic Generations. (2021). Kure, Taiki ; Tsukazaki, Kazuki ; Kondoh, Junji ; Kodaira, Daisuke.
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24. Short-Term Deterministic Solar Irradiance Forecasting Considering a Heuristics-Based, Operational Approach. (2021). Escobar, Rodrigo ; Boland, John ; Castillejo-Cuberos, Armando.
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25. Prediction of Solar Power Using Near-Real Time Satellite Data. (2021). Kay, Merlinde ; Prasad, Abhnil Amtesh.
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26. Probabilistic Forecasting of Wind and Solar Farm Output. (2021). Farah, Sleiman ; Boland, John.
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27. A Comparison of the Performance of Supervised Learning Algorithms for Solar Power Prediction. (2021). Gutierrez, Leidy ; Patio, Julian ; Duque-Grisales, Eduardo.
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28. A Comparative Study of Machine Learning-Based Methods for Global Horizontal Irradiance Forecasting. (2021). Thil, Stephane ; Grieu, Stephane ; Gbemou, Shab ; Eynard, Julien ; Guillot, Emmanuel.
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29. Progress in full spectrum solar energy utilization by spectral beam splitting hybrid PV/T system. (2021). Cheng, Ziming ; Shuai, Yong ; Yang, Luwei ; Liang, Huaxu ; Tan, Heping ; Wang, Fuqiang.
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30. State-of-the-art short-term electricity market operation with solar generation: A review. (2021). Wang, Jessie ; Li, Z ; Fang, X ; Yin, S.
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31. Ultra-short-term exogenous forecasting of photovoltaic power production using genetically optimized non-linear auto-regressive recurrent neural networks. (2021). Nwokolo, Samuel Chukwujindu ; Bailek, Nadjem ; Hassan, Muhammed A ; Bouchouicha, Kada.
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32. Hybrid deep neural model for hourly solar irradiance forecasting. (2021). Huang, Xiaoqiao ; Liu, Wuming ; Zhang, Jun ; Shi, Junsheng ; Gao, Bixuan ; Chen, Zaiqing ; Tai, Yonghang.
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33. Application of data-based solar field models to optimal generation scheduling in concentrating solar power plants. (2021). Vasallo, Manuel Jesus ; Gegundez, Manuel Emilio ; Cojocaru, Emilian Gelu ; Marin, Diego.
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34. Day-ahead hourly photovoltaic power forecasting using attention-based CNN-LSTM neural network embedded with multiple relevant and target variables prediction pattern. (2021). Qian, Zheng ; Pei, Yan ; Qu, Jiaqi.
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35. Stochastic optimization model for the short-term joint operation of photovoltaic power and hydropower plants based on chance-constrained programming. (2021). Liu, Zhe ; Wu, Zening ; Wang, Xinqi ; Yuan, Wenlin ; Cheng, Chuntian ; Su, Chengguo.
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36. Probability density forecasts for steam coal prices in China: The role of high-frequency factors. (2021). Zhao, Zhongchao ; Han, Meng ; Ding, Lili.
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37. Combining CFD and artificial neural network techniques to predict the thermal performance of all-glass straight evacuated tube solar collector. (2021). Lund, Peter D ; Wang, Jun ; Du, Bin.
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38. Probabilistic real-time deep-water natural gas hydrate dispersion modeling by using a novel hybrid deep learning approach. (2021). Zhu, Yuan ; Li, Junjie ; Shi, Jihao ; Chen, Guoming ; Yang, Dongdong ; Usmani, Asif Sohail.
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39. SolarNet: A hybrid reliable model based on convolutional neural network and variational mode decomposition for hourly photovoltaic power forecasting. (2021). Korkmaz, Deniz.
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40. Adjusted combination of moving averages: A forecasting system for medium-term solar irradiance. (2021). Trapero, Juan R ; Pedregal, Diego J.
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41. Deep learning based solar radiation micro forecast by fusion of infrared cloud images and radiation data. (2021). Ajith, Meenu ; Martinez-Ramon, Manel.
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42. Lifetime improvement for wind power generation system based on optimal effectiveness of thermal management. (2021). Du, Xiong ; Zhang, Jun ; Qian, Cheng.
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43. Short-term solar power forecasting: Investigating the ability of deep learning models to capture low-level utility-scale Photovoltaic system behaviour. (2021). Strauss, J M ; Rix, A J ; du Plessis, A A.
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44. Extensive comparison of physical models for photovoltaic power forecasting. (2021). Mayer, Martin Janos ; Grof, Gyula.
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45. What drives the accuracy of PV output forecasts?. (2021). Nguyen, Thi Ngoc ; Musgens, Felix.
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46. Combined Multi-Layer Feature Fusion and Edge Detection Method for Distributed Photovoltaic Power Station Identification. (2020). Deng, Yupeng ; Jie, Yongshi ; Zhang, YI ; Chen, Jing ; Yue, Anzhi.
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47. Reliability Predictors for Solar Irradiance Satellite-Based Forecast. (2020). Cros, Sylvain ; Haeffelin, Martial ; Badosa, Jordi ; Szantai, Andre.
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48. Impacts of Renewable Energy Resources on Effectiveness of Grid-Integrated Systems: Succinct Review of Current Challenges and Potential Solution Strategies. (2020). Tola, Vittorio ; Petrollese, Mario ; Oyekale, Joseph ; Cau, Giorgio.
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49. Integration of Electric Vehicles in the Distribution Network: A Review of PV Based Electric Vehicle Modelling. (2020). Lie, Tek Tjing ; Zamora, Ramon ; Mohammad, Asaad.
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