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Long short term memory–convolutional neural network based deep hybrid approach for solar irradiance forecasting

Citations

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Cited by:

  1. Fernando Venâncio Mucomole & Carlos Augusto Santos Silva & Lourenço Lázaro Magaia, 2025. "Parametric Forecast of Solar Energy over Time by Applying Machine Learning Techniques: Systematic Review," Energies, MDPI, vol. 18(6), pages 1-51, March.
  2. Despotovic, Milan & Voyant, Cyril & Garcia-Gutierrez, Luis & Almorox, Javier & Notton, Gilles, 2024. "Solar irradiance time series forecasting using auto-regressive and extreme learning methods: Influence of transfer learning and clustering," Applied Energy, Elsevier, vol. 365(C).
  3. Pu, Yue & Liu, Haoming & Wang, Jian & Xu, Yizhou & Anvari-Moghaddam, Amjad, 2025. "Cooperative dispatching of port integrated energy and ferry logistics systems under interrelated cross-domain uncertainties," Energy, Elsevier, vol. 337(C).
  4. Li, Ruohan & Wang, Dongdong & Wang, Zhihao & Liang, Shunlin & Li, Zhanqing & Xie, Yiqun & He, Jiena, 2025. "Transformer approach to nowcasting solar energy using geostationary satellite data," Applied Energy, Elsevier, vol. 377(PA).
  5. Yin, Linfei & Cao, Xinghui & Liu, Dongduan, 2023. "Weighted fully-connected regression networks for one-day-ahead hourly photovoltaic power forecasting," Applied Energy, Elsevier, vol. 332(C).
  6. Hanif, M.F. & Mi, J., 2024. "Harnessing AI for solar energy: Emergence of transformer models," Applied Energy, Elsevier, vol. 369(C).
  7. Isaac Gallardo & Daniel Amor & Álvaro Gutiérrez, 2023. "Recent Trends in Real-Time Photovoltaic Prediction Systems," Energies, MDPI, vol. 16(15), pages 1-17, July.
  8. Joseph, Lionel P. & Deo, Ravinesh C. & Casillas-Pérez, David & Prasad, Ramendra & Raj, Nawin & Salcedo-Sanz, Sancho, 2024. "Short-term wind speed forecasting using an optimized three-phase convolutional neural network fused with bidirectional long short-term memory network model," Applied Energy, Elsevier, vol. 359(C).
  9. Perera, Maneesha & De Hoog, Julian & Bandara, Kasun & Senanayake, Damith & Halgamuge, Saman, 2024. "Day-ahead regional solar power forecasting with hierarchical temporal convolutional neural networks using historical power generation and weather data," Applied Energy, Elsevier, vol. 361(C).
  10. Yong Zhou & Lingyu Wang & Junhao Qian, 2022. "Application of Combined Models Based on Empirical Mode Decomposition, Deep Learning, and Autoregressive Integrated Moving Average Model for Short-Term Heating Load Predictions," Sustainability, MDPI, vol. 14(12), pages 1-20, June.
  11. Liu, Tianhao & Shan, Linke & Jiang, Meihui & Li, Fangning & Kong, Fannie & Du, Pengcheng & Zhu, Hongyu & Goh, Hui Hwang & Kurniawan, Tonni Agustiono & Huang, Chao & Zhang, Dongdong, 2025. "Multi-dimensional data processing and intelligent forecasting technologies for renewable energy generation," Applied Energy, Elsevier, vol. 398(C).
  12. Zhang, Zongbin & Huang, Xiaoqiao & Li, Chengli & Cheng, Feiyan & Tai, Yonghang, 2025. "CRAformer: A cross-residual attention transformer for solar irradiation multistep forecasting," Energy, Elsevier, vol. 320(C).
  13. Neethu Elizabeth Michael & Manohar Mishra & Shazia Hasan & Ahmed Al-Durra, 2022. "Short-Term Solar Power Predicting Model Based on Multi-Step CNN Stacked LSTM Technique," Energies, MDPI, vol. 15(6), pages 1-20, March.
  14. Tavakol Aghaei, Vahid & Ağababaoğlu, Arda & Bawo, Biram & Naseradinmousavi, Peiman & Yıldırım, Sinan & Yeşilyurt, Serhat & Onat, Ahmet, 2023. "Energy optimization of wind turbines via a neural control policy based on reinforcement learning Markov chain Monte Carlo algorithm," Applied Energy, Elsevier, vol. 341(C).
  15. Nourani, Vahid & Sharghi, Elnaz & Behfar, Nazanin & Zhang, Yongqiang, 2022. "Multi-step-ahead solar irradiance modeling employing multi-frequency deep learning models and climatic data," Applied Energy, Elsevier, vol. 315(C).
  16. Sibtain, Muhammad & Li, Xianshan & Saleem, Snoober & Ain, Qurat-ul- & Shi, Qiang & Li, Fei & Saeed, Muhammad & Majeed, Fatima & Shah, Syed Shoaib Ahmed & Saeed, Muhammad Hammad, 2022. "Multifaceted irradiance prediction by exploiting hybrid decomposition-entropy-Spatiotemporal attention based Sequence2Sequence models," Renewable Energy, Elsevier, vol. 196(C), pages 648-682.
  17. Xu, Shaozhen & Liu, Jun & Huang, Xiaoqiao & Li, Chengli & Chen, Zaiqing & Tai, Yonghang, 2024. "Minutely multi-step irradiance forecasting based on all-sky images using LSTM-InformerStack hybrid model with dual feature enhancement," Renewable Energy, Elsevier, vol. 224(C).
  18. Yang, Mao & Jiang, Yuxi & Xu, Chuanyu & Wang, Bo & Wang, Zhao & Su, Xin, 2025. "Day-ahead wind farm cluster power prediction based on trend categorization and spatial information integration model," Applied Energy, Elsevier, vol. 388(C).
  19. Shang, Dawei & Pang, Yudan & Wang, Haijie, 2025. "Carbon price fluctuation prediction using a novel hybrid statistics and machine learning approach," Energy, Elsevier, vol. 324(C).
  20. Gao, Xiu-Yan & Huang, Chun-Lin & Zhang, Zhen-Huan & Chen, Qi-Xiang & Zheng, Yu & Fu, Di-Song & Yuan, Yuan, 2024. "Global horizontal irradiance prediction model for multi-site fusion under different aerosol types," Renewable Energy, Elsevier, vol. 227(C).
  21. Hui Huang & Qiliang Zhu & Xueling Zhu & Jinhua Zhang, 2023. "An Adaptive, Data-Driven Stacking Ensemble Learning Framework for the Short-Term Forecasting of Renewable Energy Generation," Energies, MDPI, vol. 16(4), pages 1-20, February.
  22. Kaysal, Kübra & Hocaoğlu, Fatih Onur, 2026. "A novel three-segment solar radiation forecasting model," Renewable Energy, Elsevier, vol. 256(PB).
  23. Liu, Zizhen & Zhao, Xuejing, 2026. "LSTM-Transformer with decomposition–reconstruction for enhanced solar irradiance forecasting incorporating meteorological variables," Renewable Energy, Elsevier, vol. 258(C).
  24. Amir A. Imam & Abdullah Abusorrah & Mustafa M. A. Seedahmed & Mousa Marzband, 2024. "Accurate Forecasting of Global Horizontal Irradiance in Saudi Arabia: A Comparative Study of Machine Learning Predictive Models and Feature Selection Techniques," Mathematics, MDPI, vol. 12(16), pages 1-25, August.
  25. Bo Wang & Tiancheng Wang & Mao Yang & Chao Han & Dawei Huang & Dake Gu, 2023. "Ultra-Short-Term Prediction Method of Wind Power for Massive Wind Power Clusters Based on Feature Mining of Spatiotemporal Correlation," Energies, MDPI, vol. 16(6), pages 1-16, March.
  26. Feng, Zhengkun & Shen, Jun & Zhou, Qingguo & Hu, Xingchen & Yong, Binbin, 2025. "Hierarchical gated pooling and progressive feature fusion for short-term PV power forecasting," Renewable Energy, Elsevier, vol. 247(C).
  27. Zhu, Yinlong & Li, Guoliang & Jiang, Yonglei & Li, Ming & Wang, Yunfeng & Zhang, Ying & Liu, Yali & Yao, Muchi, 2025. "Predicting photovoltaic greenhouse irradiance at low-latitudes of plateau based on ultra-short-term time series," Renewable Energy, Elsevier, vol. 239(C).
  28. Rang Tu & Zichen Guo & Lanbin Liu & Siqi Wang & Xu Yang, 2025. "Reviews of Photovoltaic and Energy Storage Systems in Buildings for Sustainable Power Generation and Utilization from Perspectives of System Integration and Optimization," Energies, MDPI, vol. 18(11), pages 1-46, May.
  29. Wang, J.L. & Yan, Ting & Tang, Xin & Pan, W.G., 2025. "Design and operation of hybrid ground source heat pump systems: A review," Energy, Elsevier, vol. 316(C).
  30. Yang, Yanru & Liu, Yu & Zhang, Yihang & Shu, Shaolong & Zheng, Junsheng, 2025. "DEST-GNN: A double-explored spatio-temporal graph neural network for multi-site intra-hour PV power forecasting," Applied Energy, Elsevier, vol. 378(PA).
  31. Gupta, Priya & Singh, Rhythm, 2023. "Combining a deep learning model with multivariate empirical mode decomposition for hourly global horizontal irradiance forecasting," Renewable Energy, Elsevier, vol. 206(C), pages 908-927.
  32. Udenze, Peter I. & Gong, Jiaqi & Soltani, Shohreh & Li, Dawen, 2025. "A deep neural network with two-step decomposition technique for predicting ultra-short-term solar power and electrical load," Applied Energy, Elsevier, vol. 382(C).
  33. Han, Tian & Li, Ruimeng & Wang, Xiao & Wang, Ying & Chen, Kang & Peng, Huaiwu & Gao, Zhenxin & Wang, Nannan & Peng, Qinke, 2024. "Intra-hour solar irradiance forecasting using topology data analysis and physics-driven deep learning," Renewable Energy, Elsevier, vol. 224(C).
  34. Paletta, Quentin & Hu, Anthony & Arbod, Guillaume & Lasenby, Joan, 2022. "ECLIPSE: Envisioning CLoud Induced Perturbations in Solar Energy," Applied Energy, Elsevier, vol. 326(C).
  35. Putri Nor Liyana Mohamad Radzi & Muhammad Naveed Akhter & Saad Mekhilef & Noraisyah Mohamed Shah, 2023. "Review on the Application of Photovoltaic Forecasting Using Machine Learning for Very Short- to Long-Term Forecasting," Sustainability, MDPI, vol. 15(4), pages 1-21, February.
  36. Qian Li & Tao Li & Jiangang Ouyang & Dayong Yang & Zhijun Guo, 2022. "Deep Echo State Network with Variable Memory Pattern for Solar Irradiance Prediction," Complexity, John Wiley & Sons, vol. 2022(1).
  37. Zhang, Liwenbo & Wilson, Robin & Sumner, Mark & Wu, Yupeng, 2025. "Transfer learning in very-short-term solar forecasting: Bridging single site data to diverse geographical applications," Applied Energy, Elsevier, vol. 377(PC).
  38. Hoyos-Gómez, Laura S. & Ruiz-Muñoz, Jose F. & Ruiz-Mendoza, Belizza J., 2022. "Short-term forecasting of global solar irradiance in tropical environments with incomplete data," Applied Energy, Elsevier, vol. 307(C).
  39. Jiang, Chengcheng & Zhu, Qunzhi, 2023. "Evaluating the most significant input parameters for forecasting global solar radiation of different sequences based on Informer," Applied Energy, Elsevier, vol. 348(C).
  40. Walters, Michael & Venayagamoorthy, Ganesh K., 2025. "Situational awareness indices of solar PV power generation under temporal weather conditions for near real-time planning and operation," Applied Energy, Elsevier, vol. 402(PA).
  41. Rai, Amit & Shrivastava, Ashish & Jana, Kartick C., 2023. "Differential attention net: Multi-directed differential attention based hybrid deep learning model for solar power forecasting," Energy, Elsevier, vol. 263(PC).
  42. Yiling Fan & Zhuang Ma & Wanwei Tang & Jing Liang & Pengfei Xu, 2024. "Using Crested Porcupine Optimizer Algorithm and CNN-LSTM-Attention Model Combined with Deep Learning Methods to Enhance Short-Term Power Forecasting in PV Generation," Energies, MDPI, vol. 17(14), pages 1-17, July.
  43. Elizabeth Michael, Neethu & Hasan, Shazia & Al-Durra, Ahmed & Mishra, Manohar, 2022. "Short-term solar irradiance forecasting based on a novel Bayesian optimized deep Long Short-Term Memory neural network," Applied Energy, Elsevier, vol. 324(C).
  44. Krishnan, Naveen & Ravi Kumar, K., 2025. "A novel evolutionary ensemble model to forecast hourly global horizontal irradiance under various climatic zones," Energy, Elsevier, vol. 340(C).
  45. Gupta, Priya & Singh, Rhythm, 2023. "Combining simple and less time complex ML models with multivariate empirical mode decomposition to obtain accurate GHI forecast," Energy, Elsevier, vol. 263(PC).
  46. Verdone, Alessio & Panella, Massimo & De Santis, Enrico & Rizzi, Antonello, 2025. "A review of solar and wind energy forecasting: From single-site to multi-site paradigm," Applied Energy, Elsevier, vol. 392(C).
  47. Rathore, Abhijeet & Gupta, Priya & Sharma, Raksha & Singh, Rhythm, 2025. "Day ahead solar forecast using long short term memory network augmented with Fast Fourier transform-assisted decomposition technique," Renewable Energy, Elsevier, vol. 247(C).
  48. Tang, Yugui & Yang, Kuo & Zhang, Shujing & Zhang, Zhen, 2022. "Photovoltaic power forecasting: A hybrid deep learning model incorporating transfer learning strategy," Renewable and Sustainable Energy Reviews, Elsevier, vol. 162(C).
  49. Gao, Yuan & Miyata, Shohei & Akashi, Yasunori, 2022. "Interpretable deep learning models for hourly solar radiation prediction based on graph neural network and attention," Applied Energy, Elsevier, vol. 321(C).
  50. Eşlik, Ardan Hüseyin & Akarslan, Emre & Hocaoğlu, Fatih Onur, 2022. "Short-term solar radiation forecasting with a novel image processing-based deep learning approach," Renewable Energy, Elsevier, vol. 200(C), pages 1490-1505.
  51. Bisoi, Ranjeeta & Dash, Deepak Ranjan & Dash, P.K. & Tripathy, Lokanath, 2022. "An efficient robust optimized functional link broad learning system for solar irradiance prediction," Applied Energy, Elsevier, vol. 319(C).
  52. Xiang, Yue & Yang, Yunjie & Xu, Lixiong & Tang, Zhiyuan & Liu, Youbo & Sun, Wei & Liu, Junyong, 2026. "A dynamic meteorological correlation integrated hybrid method for photovoltaic output forecasting," Renewable Energy, Elsevier, vol. 256(PH).
  53. Ding, Song & Cai, Zhijian & Qin, Xinghuan & Shen, Xingao, 2024. "Comparative assessment and policy analysis of forecasting quarterly renewable energy demand: Fresh evidence from an innovative seasonal approach with superior matching algorithms," Applied Energy, Elsevier, vol. 367(C).
  54. Zhang, Jiaan & Liu, Dong & Li, Zhijun & Han, Xu & Liu, Hui & Dong, Cun & Wang, Junyan & Liu, Chenyu & Xia, Yunpeng, 2021. "Power prediction of a wind farm cluster based on spatiotemporal correlations," Applied Energy, Elsevier, vol. 302(C).
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