孙瑜辉,王庆杰,岳春芳.基于变分模态分解的自适应交叉融合模型及其在月径流预测中的应用[J].水电能源科学,2025(03).

张璐,刘真,李磊,刘心.基于VMD-PSR-BNN模型的月径流预测方法研究[J].中国农村水利水电,2023(04).

刘嘉辉,秦仙蓉,王玉龙,孙远韬,张氢.基于双树复小波变换与样本熵的自适应降噪法[J].振动.测试与诊断,2022(02).

Zuo Ganggang,Luo Jungang,Wang Ni,Lian Yani,He Xinxin.Two-stage variational mode decomposition and support vector regression for streamflow forecasting[J].Hydrology and Earth System Sciences,2020.

Zheng Qian,Yan Pei,Hamidreza Zareipour,Niya Chen.A review and discussion of decomposition-based hybrid models for wind energy forecasting applications[J].Applied Energy,2019.

Wei Fang,Shengzhi Huang,Kun Ren,Qiang Huang,Guohe Huang,Guanhui Cheng,Kailong Li.Examining the applicability of different sampling techniques in the development of decomposition-based streamflow forecasting models[J].Journal of Hydrology,2018.

Yu Xiang,Ling Gou,Lihua He,Shoulu Xia,Wenyong Wang.A SVR–ANN combined model based on ensemble EMD for rainfall prediction[J].Applied Soft Computing Journal,2018.

John Quilty,Jan Adamowski.Addressing the incorrect usage of wavelet-based hydrological and water resources forecasting models for real-world applications with best practices and a new forecasting framework[J].Journal of Hydrology,2018.

Ramendra Prasad,Ravinesh C. Deo,Yan Li,Tek Maraseni.Input selection and performance optimization of ANN-based streamflow forecasts in the drought-prone Murray Darling Basin region using IIS and MODWT algorithm[J].Atmospheric Research,2017.

王庆杰.基于特征选择和时频分析的径流预测机器学习模型研究[D].新疆农业大学,2022(03).

彭勇.中长期水文预报与水库群优化调度方法及其系统集成研究[D].大连理工大学,2007(01).