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Accurate one step and multistep forecasting of very short-term PV power using LSTM-TCN model

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Cited by:

  1. Chen, Yunxiao & Lin, Chaojing & Zhang, Yilan & Liu, Jinfu & Yu, Daren, 2024. "The balance issue of the proportion between new energy and traditional thermal power: An important issue under today's low-carbon goal in developing countries," Renewable Energy, Elsevier, vol. 231(C).
  2. Chen, Xin & Li, Baojie & Braid, Jennifer L. & Byford, Brandon & Colvin, Dylan J. & Glaws, Andrew & Jost, Norman & Pierce, Benjamin & Rabade, Salil & Springer, Martin & Jain, Anubhav, 2025. "Open data sets for assessing photovoltaic system reliability," Applied Energy, Elsevier, vol. 395(C).
  3. Jiaan Zhang & Yan Hao & Ruiqing Fan & Zhenzhen Wang, 2023. "An Ultra-Short-Term PV Power Forecasting Method for Changeable Weather Based on Clustering and Signal Decomposition," Energies, MDPI, vol. 16(7), pages 1-15, March.
  4. Xiaojun Hua & Zhiming Zhang & Tao Ye & Zida Song & Yun Shao & Yixin Su, 2025. "Enhanced Short-Term Photovoltaic Power Prediction Through Multi-Method Data Processing and SFOA-Optimized CNN-BiLSTM," Energies, MDPI, vol. 18(19), pages 1-20, September.
  5. Zhiyi Zhu & Xingyu Wang & Jinghan Hao & Linkun Yang & Ying Yu, 2025. "Hourly Daylight Illuminance Prediction Considering Seasonal and Daylight Condition-Based Meteorological Analog Intervals," Sustainability, MDPI, vol. 17(11), pages 1-24, May.
  6. Xiangming Wu & Nan Song & Jifeng Liang & Ye Lv & Zitian Wang & Lijun Yang, 2024. "High-percentage new energy distribution network line loss frequency division prediction based on wavelet transform and BIGRU-LSTM," PLOS ONE, Public Library of Science, vol. 19(8), pages 1-22, August.
  7. Fachrizal Aksan & Vishnu Suresh & Przemysław Janik, 2024. "Optimal Capacity and Charging Scheduling of Battery Storage through Forecasting of Photovoltaic Power Production and Electric Vehicle Charging Demand with Deep Learning Models," Energies, MDPI, vol. 17(11), pages 1-22, June.
  8. Huang, Songtao & Zhou, Qingguo & Shen, Jun & Zhou, Heng & Yong, Binbin, 2024. "Multistage spatio-temporal attention network based on NODE for short-term PV power forecasting," Energy, Elsevier, vol. 290(C).
  9. Gao, Xifeng & Zang, Yuesong & Ma, Qian & Liu, Mengmeng & Cui, Yiming & Dang, Dazhi, 2025. "A physics-constrained deep learning framework enhanced with signal decomposition for accurate short-term photovoltaic power generation forecasting," Energy, Elsevier, vol. 326(C).
  10. Yong Chen & Jiangtao Chen & Xian Xie & Wenchao Yi & Zuzhen Ji, 2025. "Prediction of Mental Fatigue for Control Room Operators: Innovative Data Processing and Multi-Model Evaluation," Mathematics, MDPI, vol. 13(17), pages 1-30, August.
  11. Fahong Zhang & Zhiyuan Leng & Lu Chen & Yongchuan Zhang, 2025. "Joint Probabilistic Forecasting of Wind and Solar Power Exploiting Spatiotemporal Complementarity," Sustainability, MDPI, vol. 17(8), pages 1-19, April.
  12. 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).
  13. Siqiong Dai & Liang Yuan & Jiayi Zhong & Xubin Liu & Zhangjie Liu, 2025. "Forecasting Residential EV Charging Pile Capacity in Urban Power Systems: A Cointegration–BiLSTM Hybrid Approach," Sustainability, MDPI, vol. 17(14), pages 1-18, July.
  14. Huang, Congzhi & Yang, Mengyuan, 2023. "Memory long and short term time series network for ultra-short-term photovoltaic power forecasting," Energy, Elsevier, vol. 279(C).
  15. Liu, Weican & Gai, Mei, 2025. "PV-MLP: A lightweight patch-based multi-layer perceptron network with time–frequency domain fusion for accurate long-sequence photovoltaic power forecasting," Renewable Energy, Elsevier, vol. 251(C).
  16. Shunli Deng & Shuangxi Cui & Anchen Xu, 2024. "Power Prediction of Regional Photovoltaic Power Stations Based on Meteorological Encryption and Spatio-Temporal Graph Networks," Energies, MDPI, vol. 17(14), pages 1-22, July.
  17. Liu, Jincheng & Li, Teng, 2024. "Multi-step power forecasting for regional photovoltaic plants based on ITDE-GAT model," Energy, Elsevier, vol. 293(C).
  18. Xiaoying Ren & Fei Zhang & Yongrui Sun & Yongqian Liu, 2024. "A Novel Dual-Channel Temporal Convolutional Network for Photovoltaic Power Forecasting," Energies, MDPI, vol. 17(3), pages 1-19, February.
  19. Cui, Shuhui & Lyu, Shouping & Ma, Yongzhi & Wang, Kai, 2024. "Improved informer PV power short-term prediction model based on weather typing and AHA-VMD-MPE," Energy, Elsevier, vol. 307(C).
  20. Huang, Jing & Yuan, Chengxu & Boland, John & Guo, Su & Liu, Weidong, 2024. "One-step ahead short-term hourly global solar radiation forecasting with a dynamical system based on classification of days," Renewable Energy, Elsevier, vol. 237(PB).
  21. Yao, Haowei & Qu, Pengyu & Qin, Hengjie & Lou, Zhen & Wei, Xiaoge & Song, Huaitao, 2024. "Multidimensional electric power parameter time series forecasting and anomaly fluctuation analysis based on the AFFC-GLDA-RL method," Energy, Elsevier, vol. 313(C).
  22. Zhang, Yagang & Pan, Zhiya & Wang, Hui & Wang, Jingchao & Zhao, Zheng & Wang, Fei, 2023. "Achieving wind power and photovoltaic power prediction: An intelligent prediction system based on a deep learning approach," Energy, Elsevier, vol. 283(C).
  23. Mirza, Adeel Feroz & Shu, Zhaokun & Usman, Muhammad & Mansoor, Majad & Ling, Qiang, 2024. "Quantile-transformed multi-attention residual framework (QT-MARF) for medium-term PV and wind power prediction," Renewable Energy, Elsevier, vol. 220(C).
  24. Li, Guozhu & Ding, Chenjun & Zhao, Naini & Wei, Jiaxing & Guo, Yang & Meng, Chong & Huang, Kailiang & Zhu, Rongxin, 2024. "Research on a novel photovoltaic power forecasting model based on parallel long and short-term time series network," Energy, Elsevier, vol. 293(C).
  25. Guo, Su & Fan, Huiying & Huang, Jing, 2025. "Ultra-short-term PV power prediction based on an improved hybrid model with sky image features and data two-dimensional purification," Energy, Elsevier, vol. 331(C).
  26. Feng, Zengxi & Zhang, Xian & Quan, Wei & Liu, Xuefeng & An, Jianhu & Wang, Chang & Ji, Xiuming & Kang, Limin, 2025. "A hybrid deep learning model based on Rime optimization and multi-head attention for cooling load prediction in public buildings," Energy, Elsevier, vol. 339(C).
  27. Zhang, Dongdong & Chen, Baian & Zhu, Hongyu & Goh, Hui Hwang & Dong, Yunxuan & Wu, Thomas, 2023. "Short-term wind power prediction based on two-layer decomposition and BiTCN-BiLSTM-attention model," Energy, Elsevier, vol. 285(C).
  28. Jiahui Wang & Mingsheng Jia & Shishi Li & Kang Chen & Cheng Zhang & Xiuyu Song & Qianxi Zhang, 2024. "Short-Term Power-Generation Prediction of High Humidity Island Photovoltaic Power Station Based on a Deep Hybrid Model," Sustainability, MDPI, vol. 16(7), pages 1-24, March.
  29. Sahibzada Jawad Hadi*,Waseem Ullah Khan,Bilal Ahmad,Lubna Saif ,Muhammad Ismaeel Jan,Mannahil Miftah ,Sobia Hadi, 2025. "Sustainability-Aware Short-Term Building Cooling Demand Forecasting Using Multi-Source LSTM-Based Deep Learning," International Journal of Innovations in Science & Technology, 50sea, vol. 7(4), pages 3262-3287, December.
  30. Zhang, Mingyue & Han, Yang & Wang, Chaoyang & Yang, Ping & Wang, Congling & Zalhaf, Amr S., 2024. "Ultra-short-term photovoltaic power prediction based on similar day clustering and temporal convolutional network with bidirectional long short-term memory model: A case study using DKASC data," Applied Energy, Elsevier, vol. 375(C).
  31. Gong, Jianqiang & Qu, Zhiguo & Zhu, Zhenle & Xu, Hongtao, 2025. "Parallel TimesNet-BiLSTM model for ultra-short-term photovoltaic power forecasting using STL decomposition and auto-tuning," Energy, Elsevier, vol. 320(C).
  32. Eduardo Gomes & Augusto Esteves & Hugo Morais & Lucas Pereira, 2025. "Leveraging Explainable Artificial Intelligence in Solar Photovoltaic Mappings: Model Explanations and Feature Selection," Energies, MDPI, vol. 18(5), pages 1-17, March.
  33. Yang, Mao & Guo, Yunfeng & Huang, Tao & Zhang, Wei, 2025. "Power prediction considering NWP wind speed error tolerability: A strategy to improve the accuracy of short-term wind power prediction under wind speed offset scenarios," Applied Energy, Elsevier, vol. 377(PD).
  34. Mingxiang Li & Tianyi Zhang & Haizhu Yang & Kun Liu, 2024. "Multiple Load Forecasting of Integrated Renewable Energy System Based on TCN-FECAM-Informer," Energies, MDPI, vol. 17(20), pages 1-16, October.
  35. Lianglin Zou & Hongyang Quan & Ping Tang & Shuai Zhang & Xiaoshi Xu & Jifeng Song, 2025. "A Photovoltaic Power Prediction Framework Based on Multi-Stage Ensemble Learning," Energies, MDPI, vol. 18(17), pages 1-19, September.
  36. Wenyuan Sun & Shuailing Ma & Yufei Zhang & Yingai Jin & Firoz Alam, 2025. "Multi-Energy-Microgrid Energy Management Strategy Optimisation Using Deep Learning," Energies, MDPI, vol. 18(12), pages 1-28, June.
  37. 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).
  38. Qingyang Zhang & Junhu Wu & Tianle Wang & Chenzhan Tang & Weibin Liu, 2026. "Coupling SWAT and Interpretable Deep Learning to Improve Streamflow Simulation in Arid Regions," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 40(2), pages 1-26, January.
  39. Lan Cao & Haoyu Yang & Chenggong Zhou & Shaochi Wang & Yingang Shen & Binxia Yuan, 2024. "Photovoltaic Short-Term Output Power Forecast Model Based on Improved Complete Ensemble Empirical Mode Decomposition with Adaptive Noise–Kernel Principal Component Analysis–Long Short-Term Memory," Energies, MDPI, vol. 17(24), pages 1-14, December.
  40. Lin, Huapeng & Gao, Liyuan & Cui, Mingtao & Liu, Hengchao & Li, Chunyang & Yu, Miao, 2025. "Short-term distributed photovoltaic power prediction based on temporal self-attention mechanism and advanced signal decomposition techniques with feature fusion," Energy, Elsevier, vol. 315(C).
  41. Li, Baojie & Chen, Xin & Jain, Anubhav, 2024. "Power modeling of degraded PV systems: Case studies using a dynamically updated physical model (PV-Pro)," Renewable Energy, Elsevier, vol. 236(C).
  42. Xiaoying Ren & Yongqian Liu & Fei Zhang & Lingfeng Li, 2024. "A Deep Learning Quantile Regression Photovoltaic Power-Forecasting Method under a Priori Knowledge Injection," Energies, MDPI, vol. 17(16), pages 1-25, August.
  43. Gao, Jianwei & Meng, Qichen & Liu, Jiangtao & Wang, Ziying, 2024. "Thermoelectric optimization of integrated energy system considering wind-photovoltaic uncertainty, two-stage power-to-gas and ladder-type carbon trading," Renewable Energy, Elsevier, vol. 221(C).
  44. Zheng, Feifan & Li, Zhongyan & Xu, Ye & Li, Wei & Wang, Tao, 2026. "A hybrid prediction model of photovoltaic power system based on AP, ISSA-based VMD, CLKAN and error correction," Renewable and Sustainable Energy Reviews, Elsevier, vol. 226(PC).
  45. Zhang, Chu & Tao, Zihan & Xiong, Jinlin & Qian, Shijie & Fu, Yongyan & Ji, Jie & Nazir, Muhammad Shahzad & Peng, Tian, 2024. "Research and application of a novel weight-based evolutionary ensemble model using principal component analysis for wind power prediction," Renewable Energy, Elsevier, vol. 232(C).
  46. Mo, Fan & Jiao, Xuan & Li, Xingshuo & Du, Yang & Yao, Yunting & Meng, Yuxiang & Ding, Shuye, 2024. "A novel multi-step ahead solar power prediction scheme by deep learning on transformer structure," Renewable Energy, Elsevier, vol. 230(C).
  47. Ajith, Meenu & Martínez-Ramón, Manel, 2023. "Deep learning algorithms for very short term solar irradiance forecasting: A survey," Renewable and Sustainable Energy Reviews, Elsevier, vol. 182(C).
  48. Mirza, Adeel Feroz & Mansoor, Majad & Usman, Muhammad & Ling, Qiang, 2023. "A comprehensive approach for PV wind forecasting by using a hyperparameter tuned GCVCNN-MRNN deep learning model," Energy, Elsevier, vol. 283(C).
  49. Seman, Laio Oriel & Stefenon, Stefano Frizzo & Yow, Kin-Choong & Coelho, Leandro dos Santos & Mariani, Viviana Cocco, 2026. "Multi-step short-term solar energy forecasting using Fourier-enhanced BiLSTM and neural additive models," Renewable Energy, Elsevier, vol. 257(C).
  50. Lyu, Jingjing & Zhu, Guanghui & He, Chuan, 2026. "Data-driven short-term photovoltaic power forecasting under extreme weather conditions using GRU-KAN model," Renewable Energy, Elsevier, vol. 257(C).
  51. Shi, Chaojun & Zhang, Xiaoyun & Zhang, Ke & Xie, Xiongbin & Lu, Qiaochu & Zhang, Ningxuan & Su, Zibo, 2025. "Ultra-short-term photovoltaic power prediction based on ground-based cloud images: A review," Applied Energy, Elsevier, vol. 402(PA).
  52. Yanhui Liu & Jiulong Wang & Lingyun Song & Yicheng Liu & Liqun Shen, 2025. "Enhanced Short-Term PV Power Forecasting via a Hybrid Modified CEEMDAN-Jellyfish Search Optimized BiLSTM Model," Energies, MDPI, vol. 18(13), pages 1-22, July.
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