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Improved multistep ahead photovoltaic power prediction model based on LSTM and self-attention with weather forecast data

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  1. Yan, Ke & Liu, Jian & Zhang, Jiazhen & Yang, Fan & Gao, Yuan & Du, Yang, 2025. "Robust photovoltaic forecasting under severe data missingness via multi-domain collaboration and covariate interaction," Applied Energy, Elsevier, vol. 401(PB).
  2. Yang, Mao & Jiang, Yue & Guo, Yunfeng & Su, Xin & Li, Yi & Huang, Tao, 2025. "Ultra-short-term prediction of photovoltaic cluster power based on spatiotemporal convergence effect and spatiotemporal dynamic graph attention network," Renewable Energy, Elsevier, vol. 255(C).
  3. Pei, Jingyin & Dong, Yunxuan & Guo, Pinghui & Wu, Thomas & Hu, Jianming, 2024. "A Hybrid Dual Stream ProbSparse Self-Attention Network for spatial–temporal photovoltaic power forecasting," Energy, Elsevier, vol. 305(C).
  4. Wang, Keqi & Wang, Lijie & Meng, Qiang & Yang, Chao & Lin, Yangshu & Zhu, Junye & Zhao, Zhongyang & Zhou, Can & Zheng, Chenghang & Gao, Xiang, 2025. "Accurate photovoltaic power prediction via temperature correction with physics-informed neural networks," Energy, Elsevier, vol. 328(C).
  5. Gan, Weinan & He, Yue & Hu, Pengbo & Fu, Yunfei & Yin, Yihui & Feng, Chi, 2025. "Predicting the surface temperature of radiative cooling coatings with time-series forecasting: Validation of the small-batch training dataset and implementation of a hyperparameter optimization strategy," Renewable Energy, Elsevier, vol. 251(C).
  6. Wan, Hang & Wang, Jiasong & Gan, Quan & Xia, Yaping & Chang, Yufang & Yan, Huaicheng, 2025. "Addressing intermittency in medium-term photovoltaic and wind power forecasting using a hybrid xLSTM-TCCNN model with numerical weather predictions," Renewable Energy, Elsevier, vol. 253(C).
  7. Tabassum, Fariya & Azim, M.Imran & Islam, Md.Rashidul & Rahman, M.A. & Ali, Liaqat & Rahman, Md.Mahfuzur & Hossain, M.J., 2025. "Energy data security and pricing model in local energy markets using artificial intelligence," Applied Energy, Elsevier, vol. 401(PB).
  8. 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).
  9. Sun, Yang & Tian, Zhirui, 2025. "Solving few-shot problem in wind speed prediction: A novel transfer strategy based on decomposition and learning ensemble," Applied Energy, Elsevier, vol. 377(PD).
  10. Mehmet Das & Erhan Arslan & Sule Kaya & Bilal Alatas & Ebru Akpinar & Burcu Özsoy, 2024. "Performance Evaluation of Photovoltaic Panels in Extreme Environments: A Machine Learning Approach on Horseshoe Island, Antarctica," Sustainability, MDPI, vol. 17(1), pages 1-34, December.
  11. Liu, Bingchun & Chen, Jiali & Gao, Yuan & Zhang, Xinming & Zhao, Shiming, 2025. "Regional differences in the recycling capacity of retired batteries for new energy vehicles in China: A perspective of sales volume forecasting," Transport Policy, Elsevier, vol. 172(C).
  12. Hu, Zehuan & Gao, Yuan & Sun, Luning & Mae, Masayuki & Imaizumi, Taiji, 2024. "Improved robust model predictive control for residential building air conditioning and photovoltaic power generation with battery energy storage system under weather forecast uncertainty," Applied Energy, Elsevier, vol. 371(C).
  13. Al-Dahidi, Sameer & Alrbai, Mohammad & Rinchi, Bilal & Alahmer, Hussein & Al-Ghussain, Loiy & Hayajneh, Hassan S. & Alahmer, Ali, 2025. "Techno-economic implications and cost of forecasting errors in solar PV power production using optimized deep learning models," Energy, Elsevier, vol. 323(C).
  14. Abdullah Alghamdi, 2025. "Leveraging Spectral Clustering and Long Short-Term Memory Techniques for Green Hotel Recommendations in Saudi Arabia," Sustainability, MDPI, vol. 17(5), pages 1-28, March.
  15. Younjeong Lee & Jongpil Jeong, 2025. "TSMixer- and Transfer Learning-Based Highly Reliable Prediction with Short-Term Time Series Data in Small-Scale Solar Power Generation Systems," Energies, MDPI, vol. 18(4), pages 1-21, February.
  16. Wang, Tao & Xu, Ye & Qin, Yu & Wang, Xu & Zheng, Feifan & Li, Wei, 2025. "Short-term PV forecasting of multiple scenarios based on multi-dimensional clustering and hybrid transformer-BiLSTM with ECPO," Energy, Elsevier, vol. 334(C).
  17. Lakhdar Nadjib Boucetta & Youssouf Amrane & Aissa Chouder & Saliha Arezki & Sofiane Kichou, 2024. "Enhanced Forecasting Accuracy of a Grid-Connected Photovoltaic Power Plant: A Novel Approach Using Hybrid Variational Mode Decomposition and a CNN-LSTM Model," Energies, MDPI, vol. 17(7), pages 1-21, April.
  18. Tian, Zhirui & Liang, Bingjie, 2025. "PVMTF: End-to-end long-sequence time-series forecasting frameworks based on patch technique and information fusion coding for mid-term photovoltaic power forecasting," Applied Energy, Elsevier, vol. 396(C).
  19. Tang, Huadu & Kang, Fei & Li, Xinyu & Sun, Yong, 2025. "Short-term photovoltaic power prediction model based on feature construction and improved transformer," Energy, Elsevier, vol. 320(C).
  20. Sun, Fengpeng & Li, Longhao & Bian, Dunxin & Bian, Wenlin & Wang, Qinghong & Wang, Shuang, 2025. "Photovoltaic power prediction based on multi-scale photovoltaic power fluctuation characteristics and multi-channel LSTM prediction models," Renewable Energy, Elsevier, vol. 246(C).
  21. Tong, Shuoying & Jiang, Anqi & Luo, Jiabin & Hu, Hao & An, Ziheng & Zhang, Shuqing, 2026. "Dual-channel feature extraction and weather-guided two-stage clustering for short-term photovoltaic power prediction," Renewable Energy, Elsevier, vol. 257(C).
  22. Hu, Jinxing & Cao, Yimai & Tan, Guoqiang, 2025. "A dynamic spatiotemporal graph generative adversarial network for scenario generation of renewable energy with nonlinear dependence," Energy, Elsevier, vol. 335(C).
  23. 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.
  24. Xu, Shijie & Ma, Hui & Ekanayake, Chandima & Cui, Yi, 2025. "Swin transformer-based transferable PV forecasting for new PV sites with insufficient PV generation data," Renewable Energy, Elsevier, vol. 246(C).
  25. Yu, Hanxin & Chen, Shanlin & Chu, Yinghao & Li, Mengying & Ding, Yueming & Cui, Rongxi & Zhao, Xin, 2024. "Self-attention mechanism to enhance the generalizability of data-driven time-series prediction: A case study of intra-hour power forecasting of urban distributed photovoltaic systems," Applied Energy, Elsevier, vol. 374(C).
  26. Gao, Yuan & Hu, Zehuan & Chen, Wei-An & Liu, Mingzhe & Ruan, Yingjun, 2025. "A revolutionary neural network architecture with interpretability and flexibility based on Kolmogorov–Arnold for solar radiation and temperature forecasting," Applied Energy, Elsevier, vol. 378(PA).
  27. Choi, Jung & Son, Seok-Woo & Lee, Seungjik & Park, Sangdae, 2024. "Advancing global solar photovoltaic power forecasting with sub-seasonal climate outlooks," Renewable Energy, Elsevier, vol. 237(PC).
  28. Kim, Dongsu & Seomun, Gu & Lee, Yongjun & Cho, Heejin & Chin, Kyungil & Kim, Min-Hwi, 2024. "Forecasting building energy demand and on-site power generation for residential buildings using long and short-term memory method with transfer learning," Applied Energy, Elsevier, vol. 368(C).
  29. Gong, Bin & An, Aimin & Shi, Yaoke & Guan, Haijiao & Jia, Wenchao & Yang, Fazhi, 2024. "An interpretable hybrid spatiotemporal fusion method for ultra-short-term photovoltaic power prediction," Energy, Elsevier, vol. 308(C).
  30. Li, Jiaqian & Rao, Congjun & Gao, Mingyun & Xiao, Xinping & Goh, Mark, 2025. "Efficient calculation of distributed photovoltaic power generation power prediction via deep learning," Renewable Energy, Elsevier, vol. 246(C).
  31. Hong Wu & Haipeng Liu & Huaiping Jin & Yanping He, 2024. "Ultra-Short-Term Photovoltaic Power Prediction by NRGA-BiLSTM Considering Seasonality and Periodicity of Data," Energies, MDPI, vol. 17(18), pages 1-19, September.
  32. Kübra Yılmaz & İnayet Özge Aksu & Mustafa Göçken & Tuğçe Demirdelen, 2024. "Sustainable Textile Manufacturing with Revolutionizing Textile Dyeing: Deep Learning-Based, for Energy Efficiency and Environmental-Impact Reduction, Pioneering Green Practices for a Sustainable Future," Sustainability, MDPI, vol. 16(18), pages 1-23, September.
  33. Yuhan Wu & Chun Xiang & Heng Qian & Peijian Zhou, 2024. "Optimization of Bi-LSTM Photovoltaic Power Prediction Based on Improved Snow Ablation Optimization Algorithm," Energies, MDPI, vol. 17(17), pages 1-21, September.
  34. Hu, Zehuan & Gao, Yuan & Sun, Luning & Mae, Masayuki & Imaizumi, Taiji, 2024. "Self-learning dynamic graph neural network with self-attention based on historical data and future data for multi-task multivariate residential air conditioning forecasting," Applied Energy, Elsevier, vol. 364(C).
  35. Liu, Mingzhe & Guo, Mingyue & Fu, Yangyang & O’Neill, Zheng & Gao, Yuan, 2024. "Expert-guided imitation learning for energy management: Evaluating GAIL’s performance in building control applications," Applied Energy, Elsevier, vol. 372(C).
  36. Samuel Moveh & Emmanuel Alejandro Merchán-Cruz & Maher Abuhussain & Yakubu Aminu Dodo & Saleh Alhumaid & Ali Hussain Alhamami, 2025. "Deep Learning Framework Using Transformer Networks for Multi Building Energy Consumption Prediction in Smart Cities," Energies, MDPI, vol. 18(6), pages 1-22, March.
  37. Min, Hyunsik & Noh, Byeongjoon, 2025. "SolarNexus: A deep learning framework for adaptive photovoltaic power generation forecasting and scalable management," Applied Energy, Elsevier, vol. 391(C).
  38. Zhang, Ruoyang & Wu, Yu & Zhang, Lei & Xu, Chongbin & Wang, ZeYu & Zhang, Yanfeng & Sun, Xiaomin & Zuo, Xin & Wu, Yuhan & Chen, Qian, 2025. "A multiscale network with mixed features and extended regional weather forecasts for predicting short-term photovoltaic power," Energy, Elsevier, vol. 318(C).
  39. Hasnat, Md Abul & Asadi, Somayeh & Alemazkoor, Negin, 2025. "A graph attention network framework for generalized-horizon multi-plant solar power generation forecasting using heterogeneous data," Renewable Energy, Elsevier, vol. 243(C).
  40. Omid Pedram & Ana Soares & Pedro Moura, 2025. "A Review of Methodologies for Photovoltaic Energy Generation Forecasting in the Building Sector," Energies, MDPI, vol. 18(18), pages 1-51, September.
  41. Yanan Xue & Jinliang Yin & Xinhao Hou, 2024. "Short-Term Wind Power Prediction Based on Multi-Feature Domain Learning," Energies, MDPI, vol. 17(13), pages 1-25, July.
  42. Gao, Yuan & Liu, Mingzhe & Hu, Zehuan & Yamate, Shun & Otomo, Junichiro & Chen, Wei-An & O’Neill, Zheng, 2025. "Quantitative analysis of energy justice in demand response: Insights from real residential data in Texas, USA," Renewable Energy, Elsevier, vol. 242(C).
  43. Deng, Feng & Wang, Tianhang & Tao, Wanting & Darkwa, Jo & Li, Yilin, 2025. "A LSTM-model based approach for long-term forecasting of high-rise residential building integrated photovoltaic system," Energy, Elsevier, vol. 338(C).
  44. Gao, Yuan & Hu, Zehuan & Chen, Wei-An & Liu, Mingzhe, 2024. "Solutions to the insufficiency of label data in renewable energy forecasting: A comparative and integrative analysis of domain adaptation and fine-tuning," Energy, Elsevier, vol. 302(C).
  45. Guo, Bingxin & Zhu, Wenchao & Yang, Wenlong & Yang, Yang & Wei, Peng & You, Li & Xiong, Liangli & Xie, Changjun, 2025. "An interpretable uncertainty quantification framework for proton exchange membrane fuel cell degradation prediction," Renewable Energy, Elsevier, vol. 249(C).
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