基于IVMD-PSO-LSTM模型的短期风速预测OACSTPCD
Short-term Wind Speed Prediction Based on IVMD-PSO-LSTM Model
原始的风速序列是一种非线性和不平稳的风速序列,直接针对风速序列进行建模和预测精度不高.论文提出一种基于改进变分模态分解(Improved Variational Mode Decomposition,IVMD)的粒子群优化长短期记忆模型(Particle Swarm Optimization-Long Short-Term Memory,PSO-LSTM)网络相结合的方法对短期风速序列进行预测.IVMD算法能够自适应地确定分解层数,从而将原始风速…查看全部>>
The original wind speed sequence is a kind of nonlinear and unsteady wind speed sequence,and the modeling and prediction of wind speed sequence directly are not very accurate.In this paper,a model based on IVMD(Improved Variational Mode Decomposition)-PSO-LSTM(Particle Swarm Optimization-Long Short-Term Memory)network is proposed to predict the short-term wind speed sequence.The IVMD algorithm can adaptively determine the number of decomposition layers,so th…查看全部>>
魏来;谢义超;喻敏
武汉科技大学理学院 武汉 430070湖北商贸学院管理学院 武汉 430079武汉科技大学理学院 武汉 430070
计算机与自动化
VMD模糊熵PSOLSTM风速预测
VMDfuzzy entropyPSOLSTMwind speed forecasting
《计算机与数字工程》 2024 (6)
1708-1713,6
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