short-term load prediction

基本解釋

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(jīng)網(wǎng)絡(luò)逼近非線性ARMA模型預(yù)測(cè)電力短期負(fù)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(shí)間序列的侷域線性預(yù)測(cè)模型，提出了多嵌入維的短期負(fù)荷預(yù)測(cè)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(yīng)比理論是可應(yīng)用於中、短期預(yù)報(bào)堆積層滑坡的一種有傚方法。
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