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Titlebook: Wind Field and Solar Radiation Characterization and Forecasting; A Numerical Approach Richard Perez Book 2018 Springer International Publis

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Discretization of the Region of Interestres the information of the solid geometry that is defined by its surface, a meccano, i.e., an outline of the solid defined by connected polyhedral pieces, and a tolerance that fixes the desired approximation of the solid surface. The method builds an adaptive tetrahedral mesh of the solid (physical
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Wind Field Diagnostic Modelcription of Wind3D is provided, along with their governing equations. Next, the finite element formulation of the model and the description of the solver of the corresponding linear system are presented. The model requires an initial wind field, interpolated from data obtained in a few points of the
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Wind Field Probabilistic Forecastingthe need for ensemble forecasting, the different techniques used to generate the different initial conditions, and the operational ensemble models that are used nowadays in meteorological agencies. Then, we develop an ensemble method designed for the downscaling wind model described in Chap. . coupl
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Solar Radiation Forecasting with Statistical Modelsferent natural resources, such as solar radiation and wind fields. These resources present an unstable behavior because they depend on different meteorological conditions. In order to maintain the balance between input and output electrical energy into the power system, grid operators need to contro
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Solar Radiation Probabilistic Forecastingions. In the realm of solar forecasting, prediction intervals are especially important to assess risks in grid operations and to optimize the energy storages needed to ensure the supply–demand balance. Even if the development of probabilistic solar forecasts is relatively recent, the main available
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