The book, titled "Harnessing AI for Solar Radiation Forecasting: Innovations and Applications", explores how artificial intelligence (AI), particularly neural networks and machine learning techniques, can be applied to improve solar radiation forecasting. It begins by covering the fundamentals of solar radiation and measurement techniques, both ground-based and satellite-based. The book then delves into how AI can enhance the accuracy of predictions, with a focus on regions like Algeria, which have significant potential for solar energy. Case studies illustrate the use of neural networks to analyze solar radiation data and evaluate model performance. The overarching goal is to support the transition to renewable energy by making solar systems more efficient and reliable
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