Sentence examples for forecast deviation from inspiring English sources

Exact(1)

Therefore, during time intervals with little forecast error of thermal load (e.g. 1, 4, 9 11 h), micro turbine generation of the two schedules are approximately the same; while in time intervals with greater forecast deviation (e.g. 3, 5 8, 13 14 h), power generation of the two schedules differs a lot from each other.

Similar(59)

The sensor is now employed by RAAL to predict final product strength and to forecast deviations from standard operating conditions.

Consequently, the spinning reserves were adopted to cover the possible forecast deviations in [10, 11], but this modification in spinning reserves is theoretically proved to be inadequate in large deviation situations.

The indication of stochastic variables for wind, PV, facilities configuration and demand identification can be seen as uncertain factors according to the forecast deviations, the measurement errors, the unpredictable system contingencies or the electricity market price volatilities.

When the ESS is applied to balance the wind power forecasting deviations, the absorption or production energy of the ESS is determined by both the magnitude and sequence of the prediction errors, as formulated in (10).

We also find that the forecast differences (standard deviation) between the four scenarios increase for the larger events and decrease for the smaller events (Figs. 11b, 12b).

The OI-type error covariance is similar to the empirical one, except that the forecast error standard deviations are assumed time-invariant (i.e., constant throughout the assimilation) and that spatial correlation does not decay exponentially with the distance.

The empirical covariance is assumed diagonal (no cross covariance between different degrees l and orders m) and is determined by the forecast error standard deviations and an exponentially decaying spatial correlation function.

Notice that forecast adjustment with deviations between recent predictions and their observed TS values is a common feature to both MHW and SA3 methods.

Any deviation from forecast could be an indication of downhole problem.

The total number of injected counts over the duration of each outbreak also varied randomly (uniformly) from 5 to 50 times the standard deviation of the forecast errors arising from using forecast method 1 (see below) in the training data for all eight years.

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