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Wind and solar power forecasting based on hybrid CNN-ABiLSTM, CNN-transformer-MLP models

Citations

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Cited by:

  1. Zhao, Lingyu & Qu, Fuming & Ji, Yaming & Liu, Jinhai & Zuo, Fengyuan, 2025. "A short-term wind power forecasting method based on evolution-framed fuzzy GANs," Renewable Energy, Elsevier, vol. 254(C).
  2. Liu, Bingchun & Zhao, Shunfan & Zheng, Shize & Zhang, Fukai & Li, Zefeng & Gao, Xu & Wang, Ying, 2025. "Assessing the potential impact of aerosol scenarios for rooftop PV regional deployment," Renewable Energy, Elsevier, vol. 246(C).
  3. Shi, Zhihan & Zhang, Guangming & Lu, Chao & Zhou, Xiaoxiong & Lv, Xiaodong, 2025. "Dynamic Spatio-Temporal Graph-Enhanced KANformer for high-fidelity ultra-short-term wind power forecasting," Energy, Elsevier, vol. 337(C).
  4. Wang, Jianing & Gao, Shan & Zhao, Xin & Huang, Xueliang & Lu, Jianyu & Wu, Chuanshen, 2025. "A cross-domain information fusion method for non-stationary distributed photovoltaic forecasting," Applied Energy, Elsevier, vol. 402(PA).
  5. 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).
  6. Peng Zhang & Jinsong Hu & Kelong Zheng & Wenqing Wu & Xin Ma, 2025. "Forecasting Renewable Power Generation by Employing a Probabilistic Accumulation Non-Homogeneous Grey Model," Energies, MDPI, vol. 18(18), pages 1-33, September.
  7. Bayode, Israel A. & Ba-Alawi, Abdulrahman H. & Nguyen, Hai-Tra & Woo, Taeyong & Yoo, ChangKyoo, 2025. "Long-term policy guidance for sustainable energy transition in Nigeria: A deep learning-based peak load forecasting with econo-environmental scenario analysis," Energy, Elsevier, vol. 322(C).
  8. Antonesi, Gabriel & Cioara, Tudor & Anghel, Ionut & Michalakopoulos, Vasilis & Sarmas, Elissaios & Toderean, Liana, 2025. "A systematic review of transformers and large language models in the energy sector: towards agentic digital twins," Applied Energy, Elsevier, vol. 401(PA).
  9. Chen, Yunxiao & Liu, Jinfu & Yu, Daren, 2025. "Economically-driven spatiotemporal collaborative correction of high-precision wind power forecasting curves: aiming to more practical scheduling," Energy, Elsevier, vol. 337(C).
  10. Zheng Yang & Yang Yu & Shanshan Lin & Yue Zhang, 2025. "LLM-Empowered Kolmogorov-Arnold Frequency Learning for Time Series Forecasting in Power Systems," Mathematics, MDPI, vol. 13(19), pages 1-15, October.
  11. Cheng, Qian & Liu, Pan & Feng, Maoyuan & Cheng, Lei & Ming, Bo & Xie, Kang & Yang, Zhikai & Zhang, Xiaojing & Zheng, Yalian & Ye, Hao, 2025. "Leveraging a deep learning model to improve mid- and long-term operations of hydro-wind-photovoltaic complementary systems," Renewable and Sustainable Energy Reviews, Elsevier, vol. 222(C).
  12. Hongsheng Su & Yuwei Du & Yulong Che & Dan Li & Wenyao Su, 2025. "Hybrid Wind Power Forecasting for Turbine Clusters: Integrating Spatiotemporal WGANs with Extreme Missing-Data Resilience," Sustainability, MDPI, vol. 17(20), pages 1-18, October.
  13. J. N. Otshwe & Bin Li & Ngouokoua J. Chabrol & Bing Qi & Loris M. Tshish, 2025. "Graph Convolutional-Optimization Framework for Carbon-Conscious Grid Management," Sustainability, MDPI, vol. 17(17), pages 1-25, September.
  14. Zhao, Jinli & Liu, Zhiwei & Ji, Haoran & Yu, Lei & Yuanlv, Zerui & Duan, Shuyin & Song, Guanyu & Yu, Hao & Li, Peng, 2026. "Lightweight probability forecasting and local control of photovoltaic integrated with energy storage system in active distribution networks," Renewable Energy, Elsevier, vol. 258(C).
  15. Fu, Wenlong & Shao, Mengxin & Zhu, Xinfeng & Zheng, Bo & Liao, Xiang & Mei, Qicheng & Li, Shuai & Xiong, Haowei, 2025. "Dual-path ultra-short-term wind power forecasting based on numerical weather prediction and multi-order temporal dynamic gating fusion," Energy, Elsevier, vol. 335(C).
  16. Yingrui Chen & Jiarong Shi, 2025. "Broad Random Forest: A Lightweight Prediction Model for Short-Term Wind Power by Fusing Broad Learning and Random Forest," Sustainability, MDPI, vol. 17(11), pages 1-16, May.
  17. Xing, Qianyi & Huang, Xiaojia & Wang, Kang & Wang, Jianzhou & Wang, Shuai, 2025. "MIG-EWPFS: An ensemble probabilistic wind speed forecasting system integrating multi-dimensional feature extraction, hybrid quantile regression, and Knee improved multi-objective optimization," Energy, Elsevier, vol. 324(C).
  18. Tang, Yan & Jiang, Yizhuo & Hu, Yang & Cheng, Yunpei, 2026. "Carbon emission reduction potential analysis of biodiesel production from microalgae and waste cooking oil under different SSPs scenarios in China-based on GRA-CNN-BiLSTM modeling," Renewable Energy, Elsevier, vol. 258(C).
  19. Li, Na & Zhen, Zhao & Wang, Fei, 2026. "Surface solar irradiance retrieval approach based on satellite band optimal combination and multi-spatial scale mapping," Renewable Energy, Elsevier, vol. 256(PD).
  20. Wang, Lei & Wang, Yan & Wang, Jining & Yu, Lean, 2025. "Forecasting nonlinear green bond yields in China: Deep learning for improved accuracy and policy awareness," Finance Research Letters, Elsevier, vol. 85(PA).
  21. Ahmadi, Mehrnaz & Aly, Hamed & Khashei, Mehdi, 2025. "Enhancing power grid stability with a hybrid framework for wind power forecasting: Integrating Kalman Filtering, Deep Residual Learning, and Bidirectional LSTM," Energy, Elsevier, vol. 334(C).
  22. Qiao, Weibiao & Shi, Luyao & Kong, Xiangzhe & Yang, Xinjun & Huang, Nan & Wang, Yuqin, 2026. "A hybrid algorithm for multi-step prediction of ultra-short-term electricity load considering an innovative preprocessing method," Renewable Energy, Elsevier, vol. 256(PG).
  23. Mohammad Mehdi Sharifi Nevisi & Mehrdad Shoeibi & Francisco Hernando-Gallego & Diego Martín & Sarvenaz Sadat Khatami, 2025. "An Evolutionary Deep Reinforcement Learning-Based Framework for Efficient Anomaly Detection in Smart Power Distribution Grids," Energies, MDPI, vol. 18(10), pages 1-35, May.
  24. Li, Lue & Long, Jun & Yuan, Meilan, 2025. "Novel wind speed ensemble forecasting system based on the critic weighing principle of fuzzy information granulation and reverse mixed-frequency modeling," Energy, Elsevier, vol. 330(C).
  25. 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).
  26. Wang, Yun & Wu, Guang & Dong, Ruipeng & Kou, Hongbo & Chen, Charles, 2025. "A time–frequency collaborative network with endogenous–exogenous variable decoupling for enhanced photovoltaic power forecasting," Energy, Elsevier, vol. 341(C).
  27. Qu, Kai & Xue, Shuangsi & Zheng, Xiaodong & Yan, Dapeng & Cao, Hui, 2026. "Learning dynamic inter-farm dependencies for wind power forecasting via adaptive sparse graph attention network," Renewable Energy, Elsevier, vol. 258(C).
  28. Rathod, Deepak & Gidwani, Lata, 2026. "A literature review based on density forecasting and uncertainty quantification of wind power generation," Renewable and Sustainable Energy Reviews, Elsevier, vol. 229(C).
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