In this paper, autoregressive moving average model (ARMA) is used to forecast the power load.
本文采用自回归滑动平均模型(ARMA)对电力负荷进行了预测。
We obtain some results as follows:In chapter 2, a new mixture autoregressive moving average model is proposed for modeling nonlinear time series.
提出了一类新的用于非线性时间序列建模的混合自回归滑动平均模型。
Methods Using the Autoregressive Integrated Moving Average Model to fit the change of numbers of discharged patients.
方法采用自回归移动平均模型对出院人次进行模型拟合。
The trend part of the data can be fitted with BP (back propagation) neural network and the random part is processed by a normal ARMA (auto regressive moving average) model.
采用BP网络对不平稳时间序列进行数据拟合，处理趋势部分，利用ARMA模型处理随机部分。
The trend part of the data can be fitted with BP (back propagation) neural network and the random part is processed by a normal ARMA (auto regressive moving average) model.
采用BP网络对不平稳时间序列进行数据拟合，处理趋势部分，利用ARMA模型处理随机部分。
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