Sentence examples for difficulty forecast from inspiring English sources

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In the second round, two dimensions of the top five challenges were further evaluated by the panel: Implementation difficulty Forecast for the year 2020.

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The second problem is the difficulty to forecast the ramp characteristics with respect to physical models [13].

Other monthly editors are also wrestling with the difficulty of forecasting events and moods.

One of his principal ideas is the difficulty of forecasting given the role of chance and extreme events.

You will have the last laugh.DAVID VICTOR, ROBERT JOHNSONThe Council on Foreign RelationsNew YorkSIR Oil prices are notorious for the difficulty in forecasting their turning points.

"People adapt and work around the shock; those unaffected work harder and longer to pick up the slack .Apart from the difficulty of forecasting the impact of exogenous events, investors may have another reason for ignoring them.

Given the difficulty of forecasting, and the "long and variable lags", as described in The Lag in Effect of Monetary Policy, in The Optimum Quantity of Money and Other Essays (1969), between adjusting monetary instruments and their effect on the economy, the likelihood that intervention, even if undertaken with the purest motives, would prove beneficial was slim.

As battalions of volunteers and paid canvassers mustered on Monday for a final feverish day of vote-wrangling in New York, strategists in both parties acknowledged the difficulty of forecasting exactly who and how many voters would turn out for the election.

Difficulty in forecasting from year to year was associated with a tendency to disagree that unnecessary warnings are harmful (ρ = −0.26, p < 0.05).

This reflects the difference between the two strategies adopted by the teams and the intrinsic difficulty in forecasting the change of the magnetic field.

Integrating wind generation into power systems and wholesale electricity markets presents unique challenges due to the characteristics of wind power, including its limited dispatchability, variability in generation, difficulty in forecasting resource availability, and the geographic location of wind resources.

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