Solar Energy Forecasting and Resource Assessment

<p>Preface</p> <p>Biography</p> <p>Chapter 1 - Terms and Definitions</p> <p>Chapter 2 - Semi-Empirical Satellite Models</p> <p>Chapter 3 - Physically Based Satellite Methods</p> <p>Chapter 4 - Evaluation of Resource Risk in Solar-Project Financing</p> <p>Chapter 5 - Bankable Solar-Radiation Datasets</p> <p>Chapter 6 - Solar Resource Variability</p> <p>Chapter 7 - Quantifying and Simulating Solar-Plant Variability Using Irradiance Data</p> <p>Chapter 8 - Overview of Solar-Forecasting Methods and a Metric for Accuracy Evaluation</p> <p>Chapter 9 - Sky-Imaging Systems for Short-Term Forecasting</p> <p>Chapter 10 - Solar Anywhere Forecasting</p> <p>Chapter 11 - Satellite-Based Irradiance and Power Forecasting for the German Energy Market</p> <p>Chapter 12 - Forecasting Solar Irradiance with NumericalWeather Prediction Models</p> <p>Chapter 13 - Data Assimilation in Numerical Weather Prediction and Sample Applications</p> <p>Chapter 14 - Case Studies of Solar Forecasting with the Weather Research and Forecasting Model at GL-Garrad Hassan</p> <p>Chapter 15 - Stochastic-Learning Methods</p> <p>Index</p>