Sentence examples for frequency forecast from inspiring English sources

Frequency forecast in a power system is difficult and challenging.

Spatially explicit metapopulation models are being used with increasing frequency to forecast changes in species' abundance in response to future climate and other environmental changes.

Consistent with this prediction, we find that the effect of CDS availability on the likelihood and frequency of forecasts is higher when lead arrangers retain smaller loan share.

We reaffirm this finding by showing that CDS availability is also strongly associated with the frequency of management forecasts; the average forecast frequency of CDS firms is 35.6percentt higher than that of non-CDS firms.

Principal conclusions of this paper are that the integrated system provides reliable ensemble inflow volume forecasts for the majority of the deciles of forecast frequency, and that the use of climate model simulations is beneficial mainly during high flow periods.

The probability density frequency of aggregated forecast error of 17 wind farms in Vermont based on the measurements and three estimated models are shown in Fig. 7.

Open image in new window Fig. 8 Probability density frequency of aggregated forecast error of measurements and three estimated models Table 4 Load shedding and wind curtailing probabilities Probability Measured data Pair-Copula model Gaussian model Independent model Load shedding probability 2.79 2.44 4.45 0 Wind curtailing probability 5.36 5.36 4.64 0.01.

The model produces high-resolution grids of peak flow forecast frequencies during rainfall events.

And High Frequency Economics is forecasting 200,000, saying good weather and the end of a supermarket strike in California should give the jobs data a big boost.

As CDS liquidity makes hedging easier and cheaper, we find a stronger effect of CDSs on the likelihood and frequency of management forecasts for firms with more liquid CDSs.

First, the frequency domain method forecasts the Ap index more accurately than any time domain model, including both regressions and neural networks.