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A case study is performed to validate the forecasting methodology.
The initial three years of data was used to train the forecasting systems, and data from the remaining years was divided into subgroups to validate the forecasting models.
Finally, the results from the empirical data during the period of January 1997 to December 2005 were used to develop the models, and data from January 2006 to December 2007 were used to validate the forecasting ability of the models.
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To validate the model, a forecast analysis on the Madrid-Barcelona high speed corridor has been performed.
We developed and validate the Saudi IMPACT Diabetes Forecast Model, which is a Markov model with relatively few data input requirements.
To overcome these challenges, we have proposed in this review, the use of an integrated '-omics' approach comprising in silico analysis and '-omics' techniques (such as peptidomics) to respectively forecast and validate the biological and physico-chemical properties of the peptides.
Case studies based on practical data validate the feasibility of the proposed wind power forecasting method.
An artificial forecast is used to validate the superiority of RC over MAPE and RMSE.
Policy and strategic implications from the structured ecosystem forecasting are also discussed to validate the practicality of the suggested methodology.
These results validate the economic benefits of having accurate wind production forecasts.
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