Sentence examples for ahead error from inspiring English sources

Then one-step ahead estimate and one step ahead error covariance matrix are given by [22, 25]: hat{X}=Ahat{X}_{k/k{X}_{k/k}.

Estimates of the one-step-ahead errors in control signals are calculated through a developed fuzzy neural network-based predictive model of the plant and used for controller tuning.

The control relevant method studied in this paper minimizes a multistep ahead prediction error objective function, suitable for model predictive controllers, to obtain an optimal multistep ahead predictor.

Writing this equation together with an equation that defines the one-step ahead prediction error, (v_{t},) gives the innovations form of the KF: begin{aligned} begin{array}{rcl} y_{t} &mu _{tmid t-1}+v_{t},quad quad mu _{t+1mid t} &phi mu _{tmid t-1}+k_{t}v_{t}.

It can be seen from the figure that the dependence relation is strong between the 1-h-ahead and 2-h-ahead forecast error series, and the CCF value decreases rapidly when the lag increases.

Open image in new window Fig. 4 CCF values between 1-h-ahead forecast error series and error series from 2-h-ahead to 48-h-ahead.

Figure 4 describes the CCF values between the 1-h-ahead forecast error series and the forecast error series from 2-h-ahead to 48-h-ahead.

In the figure, A1-B stands for the CCF values between the 1-h-ahead forecast error series of wind farm A and the error series from 1-h-ahead to 48-h-ahead of wind farm B. So do A1-C and B1-C.

Finally, 1-year ahead forecast errors are large (overall mean of 9.06 %) compared to the 1-month ahead forecast errors (overall mean of −0.27 %).

The noise model plays a pivotal role in determining the performance of multistep ahead prediction errors.

One step ahead prediction errors, i.e. residuals, are then evaluated by a decision logic using threshold values and different patterns of residual's change in cases of known faulty behaviours.