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   In: Renewable Energy.
   RePEc:eee:renene:v:224:y:2024:i:c:s0960148124002039.

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2. Global horizontal irradiance prediction model considering the effect of aerosol optical depth based on the Informer model. (2024). Yuan, Yuan ; He-Ping, Tan ; Jie-Mei, Liu ; Xiu-Yan, Gao.
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   RePEc:eee:renene:v:220:y:2024:i:c:s0960148123015860.

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3. Short-term photovoltaic power forecasting based on multiple mode decomposition and parallel bidirectional long short term combined with convolutional neural networks. (2024). Li, Yulin ; Chen, Yilin ; Liu, Qian ; Zhang, Jiang ; Jiang, Hang.
   In: Energy.
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4. A Novel Machine Learning Approach for Solar Radiation Estimation. (2023). Benkirane, Said ; Azrour, Mourade ; Hissou, Hasna ; Guezzaz, Azidine ; Beni-Hssane, Abderrahim.
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5. Accurately forecasting solar radiation distribution at both spatial and temporal dimensions simultaneously with fully-convolutional deep neural network model. (2023). Ruan, Zhaohui ; Yuan, Yuan ; Sun, Weiwei ; Tan, Heping.
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6. Prediction method of key corrosion state parameters in refining process based on multi-source data. (2023). Dou, Zhan ; Hu, Yuanhao ; Chen, Liangchao ; Yang, Jianfeng ; Suo, Guanyu.
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7. Predicting photovoltaic power production using high-uncertainty weather forecasts. (2023). Polasek, Tomas ; Adik, Martin.
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   RePEc:eee:appene:v:339:y:2023:i:c:s0306261923003537.

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8. Machine Learning and Deep Learning in Energy Systems: A Review. (2022). Zahedi, Rahim ; Forootan, Mohammad Mahdi ; Larki, Iman ; Ahmadi, Abolfazl.
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9. An Integrated Framework Based on an Improved Gaussian Process Regression and Decomposition Technique for Hourly Solar Radiation Forecasting. (2022). Hao, Xiangmiao ; Jiang, Wei ; Peng, Tian ; Zhang, Shuai ; Sun, NA.
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10. Forecasting Photovoltaic Power Generation with a Stacking Ensemble Model. (2022). Ahmed, Tofael ; Ahmad, Shameem ; Rahman, M M ; Gheni, Hassan Muwafaq ; Mubarak, Hamza ; Abdellatef, Hamdan ; Shafiullah, G M ; Hammoudeh, Ahmad ; Abdellatif, Abdallah.
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11. Solar Power Forecasting Using CNN-LSTM Hybrid Model. (2022). Lim, Su-Chang ; Hong, Seok-Hoon ; Huh, Jun-Ho ; Kim, Jong-Chan ; Park, Chul-Young.
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12. Ensemble Interval Prediction for Solar Photovoltaic Power Generation. (2022). Zhang, Yaxin ; Hu, Tao.
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13. Solar Energy Resources and Photovoltaic Power Potential of an Underutilised Region: A Case of Alice, South Africa. (2022). Overen, Ochuko Kelvin ; Meyer, Edson Leroy.
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14. A mathematical model for a rapid calculation of the urban canyon albedo and its applications. (2022). Wang, Wenbo ; Yao, Runming ; Luo, Qing ; Zhang, Hongjie.
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15. A low-cost sustainable coating: Improving passive daytime radiative cooling performance using the spectral band complementarity method. (2022). Yan, Yuying ; Zhang, Yingjie ; Dong, Yan ; Shi, Xuhang ; Wang, Fuqiang ; Cheng, Ziming.
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16. Improved Complete Ensemble Empirical Mode Decomposition with Adaptive Noise Deep Residual model for short-term multi-step solar radiation prediction. (2022). Ghimire, Sujan ; Salcedo-Sanz, Sancho ; Deo, Ravinesh C ; Casillas-Perez, David.
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17. Evaluation of machine learning models for predicting daily global and diffuse solar radiation under different weather/pollution conditions. (2022). Gao, Xiaoqing ; Liu, Weiping ; Lv, Tao ; Yang, Liwei ; Zhou, Jiaxin ; Jia, Dongyu.
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18. Evaluating the prospect of utilizing excess energy and creating employments from a hybrid energy system meeting electricity and freshwater demands using multi-objective evolutionary algorithms. (2022). Hassan, Rakibul ; Das, Pronob ; Rahman, Mushfiqur.
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19. A hybrid deep learning framework integrating feature selection and transfer learning for multi-step global horizontal irradiation forecasting. (2022). Wei, Wei ; Niu, Tong ; Li, Jinkai ; Yue, Hui.
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20. An efficient robust optimized functional link broad learning system for solar irradiance prediction. (2022). Bisoi, Ranjeeta ; Dash, P K ; Tripathy, Lokanath.
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21. Boosting solar radiation predictions with global climate models, observational predictors and hybrid deep-machine learning algorithms. (2022). Ghimire, Sujan ; Salcedo-Sanz, Sancho ; Deo, Ravinesh C ; Casillas-Perez, David.
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22. Short-term forecasting of global solar irradiance in tropical environments with incomplete data. (2022). Hoyos-Gomez, Laura S ; Ruiz-Muoz, Jose F ; Ruiz-Mendoza, Belizza J.
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23. Machine Learning Applied to the Oxygen-18 Isotopic Composition, Salinity and Temperature/Potential Temperature in the Mediterranean Sea. (2021). Galvez, Juan F ; Mejuto, Juan C ; Astray, Gonzalo ; Barreiro, Enrique ; Soto, Benedicto.
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24. Modelling and Prediction of Monthly Global Irradiation Using Different Prediction Models. (2021). Mejuto, Juan Carlos ; Astray, Gonzalo ; Martinez-Castillo, Cecilia.
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25. Comparative Analysis of Machine Learning Models for Day-Ahead Photovoltaic Power Production Forecasting. (2021). Theocharides, Spyros ; Theristis, Marios ; Kynigos, Marios ; Makrides, George ; Georghiou, George E ; Spanias, Chrysovalantis.
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26. 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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27. Performance Evaluation of Neural Network-Based Short-Term Solar Irradiation Forecasts. (2021). Hwang, Youngseok ; Schluter, Stephan ; Liebermann, Simon ; Um, Jung-Sup.
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28. Quantitative Analysis of the Impact of Meteorological Environment on Photovoltaic System Feasibility. (2021). Sun, Hongfei ; Pan, Guobing ; Xu, Fang ; Ma, Dengchang.
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29. Potential of Bayesian additive regression trees for predicting daily global and diffuse solar radiation in arid and humid areas. (2021). Tang, Xiaoping ; Wu, Wei ; Lv, Jiake ; Liu, Hongbin ; Yang, Chao.
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30. High-resolution estimates of diffuse fraction based on dynamic definitions of sky conditions. (2021). Campana, Pietro Elia ; Hassan, Muhammed A ; Abubakr, Mohamed ; Akoush, Bassem M ; Khalil, Adel.
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31. Machine learning for site-adaptation and solar radiation forecasting. (2021). Bressan, Michael ; Giraldo, Luis Felipe ; Narvaez, Gabriel ; Pantoja, Andres.
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32. A regression unsupervised incremental learning algorithm for solar irradiance prediction. (2021). Rajkumar, Rajprasad Kumar ; Khan, Nafizah ; Juman, Mohammed Ayoub ; Chong, Lee Wai ; Begam, K M ; Puah, Boon Keat ; Wong, Yee Wan.
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33. Estimation of processing time using machine learning and real factory data for optimization of parallel machine scheduling problem. (2021). Nonaka, Hirofumi ; Yamashiro, Hirochika.
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34. Deep learning-based forecasting of aggregated CSP production. (2021). Ayuso, Pablo ; Segarra-Tamarit, Jorge ; Beltran, Hector ; Moya, Eric ; Perez, Emilio.
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35. Inter-Hour Forecast of Solar Radiation Based on the Structural Equation Model and Ensemble Model. (2020). Guo, Yiren ; Zhu, Tingting ; Wang, Cong ; Ni, Chao.
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36. Multiple Site Intraday Solar Irradiance Forecasting by Machine Learning Algorithms: MGGP and MLP Neural Networks. (2020). Leva, Sonia ; Pimentel, Sergio Pires ; Mussetta, Marco ; de Paiva, Gabriel Mendona ; Marra, Enes Gonalves ; Alvarenga, Bernardo Pinheiro.
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37. Prediction of offshore wind farm power using a novel two-stage model combining kernel-based nonlinear extension of the Arps decline model with a multi-objective grey wolf optimizer. (2020). Ma, Xin ; Azimi, Mohammadamin ; Huang, Kun ; Lu, Hongfang.
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38. Short-term global horizontal irradiance forecasting based on a hybrid CNN-LSTM model with spatiotemporal correlations. (2020). Wei, Zhinong ; Sun, LI ; Liu, Ling ; Cheng, Lilin ; Zang, Haixiang.
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39. Short term solar irradiance forecasting via a novel evolutionary multi-model framework and performance assessment for sites with no solar irradiance data. (2020). Lakhliai, Zakia ; Amouzg, Mohammed ; Marzouq, Manal ; Zenkouar, Khalid ; el Fadili, Hakim.
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40. Photovoltaic power forecast using empirical models and artificial intelligence approaches for water pumping systems. (2020). ben Ammar, Rim ; Oualha, Abdelmajid.
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41. Estimation of global solar radiation for the tropical wet climatic region of India: A theory of experimentation approach. (2020). Chakrabarti, Siddharth ; Makade, Rahul G ; Sakhale, C N ; Jamil, Basharat.
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42. Comparison of support vector machine and copula-based nonlinear quantile regression for estimating the daily diffuse solar radiation: A case study in China. (2020). Zhou, Yong ; Zhu, Ying ; Wang, Yingying ; Chen, Yaowen ; Liu, Yanfeng.
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43. Application of artificial neural network for predicting the dynamic performance of a free piston Stirling engine. (2020). Liu, Yingwen ; Wang, Xiaojun ; Ye, Wenlian.
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44. Comparison of daily diffuse radiation models in regions of China without solar radiation measurement. (2020). Yu, Ying ; Liu, Yan ; Cao, Qimeng ; Yang, Liu.
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45. Microgrid-Level Energy Management Approach Based on Short-Term Forecasting of Wind Speed and Solar Irradiance. (2019). Haider, Syed Irtaza ; Alhussein, Musaed ; Aurangzeb, Khursheed.
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46. Designing a New Data Intelligence Model for Global Solar Radiation Prediction: Application of Multivariate Modeling Scheme. (2019). Yaseen, Zaher Mundher ; Heddam, Salim ; Deo, Ravinesh ; Al-Ansari, Nadhir ; Ebtehaj, Isa ; Bonakdari, Hossein ; Tao, Hai ; Voyant, Cyril.
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47. Deep Learning Neural Networks Trained with MODIS Satellite-Derived Predictors for Long-Term Global Solar Radiation Prediction. (2019). Ghimire, Sujan ; Deo, Ravinesh C ; Raj, Nawin.
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48. Random forest solar power forecast based on classification optimization. (2019). Sun, Kun ; Liu, DA.
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49. Day-ahead power forecasting in a large-scale photovoltaic plant based on weather classification using LSTM. (2019). Gao, Mingming ; Li, Jianjing ; Hong, Feng ; Long, Dongteng.
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50. The implementation of univariable scheme-based air temperature for solar radiation prediction: New development of dynamic evolving neural-fuzzy inference system model. (2019). Yaseen, Zaher Mundher ; Heddam, Salim ; Kisi, Ozgur.
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