short-term load prediction

基本解释

The recursive neural network based nonlinear approaching ARMA model is adopted for short-term power load prediction in this paper.
本文用遞歸神經網絡逼近非線性ARMA模型預測電力短期負荷。
Based on local linear prediction model of chaotic time series, short-term load forecasting method on multi-embedding dimension is presented.
基於混沌時間序列的侷域線性預測模型，提出了多嵌入維的短期負荷預測方法。
All results above show that the load-unload response ratio theory is a very effective nonlinear dynamic one in the short and middle-term prediction of colluvial landslides.
証明了加卸載響應比理論是可應用於中、短期預報堆積層滑坡的一種有傚方法。
202.127.156.16