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We reduce our pretax profit and earnings per share forecasts by 12% in all three forecast years, assuming no recovery in Chromium over the period.
Three forecast methods, NN, WNN and ANFIS are compared.
Moreover, three forecast models are tested to evaluate the impact of weather prediction accuracy on the ESS design.
The short-term wind forecast system is based on a mixed statistical-numerical procedure, trained by means of local wind measurements and implemented into an operational chain for the real-time prediction of the maximum expected wind velocity corresponding to three forecast horizons (30, 60 and 90 min) and three non-exceeding probabilities (90%, 95%, and 99%).
Figure 6 shows the application of the same transfer function to the three forecast scenarios (reference, GC and WM, see Section 2.2).
The MAV forecast product produced the most accurate temperature and DPT predictions for all three forecast lengths, with 3-day predictions that were > 0.5°C closer to the observed values than predictions based on the other forecast products.
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The findings of the three forecasts are elaborated below.
Figure 7 shows three forecasting results of the same horizon.
We implemented three forecasting methods: ARIMA, ARIMAX and transfer function models.
The most significant performance difference among these three forecasts occurs on the number of false positives; fuzzy models are consistently lower, and therefore afford a more reliable forecast.
Then, the paper proposes three forecasting modelling approaches [statistical, neural networks and support vector machines (SVM ] that generate forecasts on the BUX stock time series.
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