基于GWO-VMD-LSTM的熱力系統(tǒng)單參數(shù)時(shí)間序列預(yù)測(cè)方法

摘要： 針對(duì)熱力系統(tǒng)參數(shù)運(yùn)行數(shù)據(jù)預(yù)測(cè)困難、準(zhǔn)確率低的問(wèn)題，基于灰狼算法(Grey Wolf Optimizer, GWO)、變分模態(tài)分解(Variational Mode Decomposition, VMD)、長(zhǎng)短期記憶模型(Long Short Term Memory, LSTM)提出一種單參數(shù)時(shí)序預(yù)測(cè)方法。首先，使用改進(jìn)適應(yīng)度函數(shù)的GWO對(duì)VMD的分解層數(shù)和懲罰系數(shù)進(jìn)行尋優(yōu)；其次...