本文将时间序列相关分析理论应用于电力系统超短期负荷预报。
In this paper, the Theory of Corrclation Analysis on Time Series is applied to very-short-term power system load forecast.
本文提出一种基于数字散斑时间序列相关三维面形测量法中提高测量精度的方法—多相关峰优化法。
A new precision enhancement method called as multi correlation peaks optimization in shape measurement by digital speckle temporal sequence correlation method is presented in this paper.
由历史数据推测未来趋势的众多方法中较突出的有：时间序列法、最小平方法、指数平滑法、回归分析和相关分析。
Prominent among the various techniques that can help to extrapolate past date into future trends are the following:time series, least squares method, exponential smoothing, regression and correlation.
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