Sentence examples for forecasts generated by from inspiring English sources
Despite the tremendous improvement made in numerical weather and climate models over the recent years, the forecasts generated by those models still cannot be used directly for hydrological forecasting.
In this scenario, forecasts generated by arbitrary models have a characteristic one step ahead delay with respect to the time series values, so that, there is a time phase distortion in stock market phenomena reconstruction.
After receiving weather forecasts generated by supercomputers, they interpret and parse them by, among other things, comparing them with various conflicting models or what their colleagues are seeing in the field or what they already know about certain weather patterns — or, often, all of the above.
The GPR (Gaussian Process Regression) model is utilized to combine independent forecasts generated by various forecasting engines (ARIMA (Autoregressive Integrated Moving Average, ELM Extreme Learning Machine, SVMSupportpport Vector Machine) and LSSVM (Least Square SVM)) in a nonlinear way rather than the commonly used linear way.
We examine forecasts generated by our method in June 2013.
Figure 1 Empirical CDF of the median absolute deviation of retweeter locations of 4,004 forecasts generated by our model.
The resultant value represents the initial deterministic risk forecast generated by the BN risk assessment model.
The MHW performance is equal or superior to that of the SA3 forecasting benchmark in 87.5% of the 24 TS forecasts generated here, as implied by equal or smaller MAPE values (Table 3).
SA3 forecasts are generated by correcting seasonal averages with the mean deviation between the three most recent seasonal forecasts and their observed TS values [32] hence, capturing recent TS trend vis-à-vis reducing statistical variation.
Specifically, the quantitative forecasts are generated by the autoregressive distributed lag model, then adjusted by a panel of experts comprising postgraduate students and academic staff.
Multiple-step ahead forecasts are generated by means of a rolling scheme.
