Yang Li, Yongsheng Ye, Yanlong Xu, Lili Li, Xi Chen, Jianghua Huang, “Two-stage forecasting of TCN-GRU short-term load considering error compensation and real-time decomposition”, Earth Sci Inform, 2024
Yang Shen, Deyi Li, Wenbo Wang, “Multi-Energy Load Prediction Method for Integrated Energy System Based on Fennec Fox Optimization Algorithm and Hybrid Kernel Extreme Learning Machine”, Entropy, 26, no. 8, 2024, 699
Lijun Yang, Xiang Li, Ye Lv, Zeyong Li, Zhenxiao Chong, “Multi-energy load forecasting for IES considering meteorological causation and repetition cycles”, Electric Power Systems Research, 237, 2024, 110977
Pengdan Fan, Dan Wang, Wei Wang, Xiuyu Zhang, Yuying Sun, “A novel multi-energy load forecasting method based on building flexibility feature recognition technology and multi-task learning model integrating LSTM”, Energy, 308, 2024, 132976
Shucheng Luo, Baoshi Wang, Qingzhong Gao, Yibao Wang, Xinfu Pang, “Stacking integration algorithm based on CNN-BiLSTM-Attention with XGBoost for short-term electricity load forecasting”, Energy Reports, 12, 2024, 2676
Huayi Wu, Zhao Xu, “Multi-Energy Load Forecasting in Integrated Energy Systems: A Spatial-Temporal Adaptive Personalized Federated Learning Approach”, IEEE Trans. Ind. Inf., 20, no. 10, 2024, 12262
Guo-qiang Zheng, Ling-rui Kong, Zhong-e Su, Miao-sen Hu, Guo-dong Wang, “Approach for Short-Term Power Load Prediction Utilizing the ICEEMDAN–LSTM–TCN–Bagging Model”, J. Electr. Eng. Technol., 2024
Ming Lan, Hongyu Huang, Yan He, Ying Tang, Shuangqi Shen, “Chaotic characteristics and nonlinear prediction of radon exhalation rate in granitoid materials with single fissure roughness variations”, Radiation Physics and Chemistry, 226, 2025, 112260
Wei Zhao, Zhen Shao, Shanlin Yang, Xinhui Lu, “A novel conditional diffusion model for joint source-load scenario generation considering both diversity and controllability”, Applied Energy, 377, 2025, 124555
Ziyi Meng, Yanling Lu, Haixia Wang, “Correlation change analysis and NDVI prediction in the Yellow River Basin of China using complex networks and GRNN-PSRLSTM”, Environ Monit Assess, 196, no. 11, 2024, 1092