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Additional correlation coefficients include the mean absolute error (MAE), to indicate the forecast performance: mathrm{M}mathrm{A}mathrm{E} = frac{1}{N}{displaystyle {sum}_{i=1}^Nleft|{I}_{mod.,i}-{I}_{mathrm{meas}.,i}right|} (4).
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indicates the forecast value of the th message made for the prior time period and indicates the actual value of the time-series in the prior time period.
where indicates the forecast value of the th message for the time period, and has a value from 1 to 4 which, respectively, corresponds to BR, Initial Ranging, Periodic Ranging, and Handover Ranging.
Therefore, in this paper, we adopt the Gaussian distribution: Delta v sim N 0,sigma_{v}^{2} ) (9 where Δv represents the wind speed forecast error, N 0, σ v 2 ) stands for the Gaussian distribution with the mean value 0 and the standard deviation σ v. Then the actual wind speed is expressed as: v = v_{f} + Delta v (10 where v f indicates the forecast value of the wind speed.
The black diagonal line indicates the forecasts by random distribution, the purple curve denotes those by the EXP model, the green curve denotes those by the LN-SST model, and the red curve denotes those by the LN-Bayes model.
The results indicate the significance of forecast skill in forecast-based reservoir operation.
Vertical green lines in (a), (b), (d) and (e) indicate the time of the forecast.
The results indicate the percentage of the forecast error of macroeconomic shocks at different time horizons from period 1 (short term) to period 20 (long term).
The κ values indicate that the forecast magnitude distributions are all consistent with the observation.
Smaller values of RMSE indicate that the forecast is a closer approximation of the measured value.
By early on September 20, the official forecast followed the first scenario, though later that day, officials changed the forecast to indicate the turn to the south.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com