BigData techniques for Solar Power Forecasting

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The book delves into the challenges and advancements in renewable energy, particularly focusing on photovoltaic production and its predictive capabilities. As the importance of accurate energy predictions rises, especially with the advent of SMART Grid projects, the text explores the need for enhanced models that can handle data from multiple locations. It highlights the role of Big Data techniques, specifically convex optimization and parallel computing, in improving computational power and developing faster, more accurate predictive models for renewable energy production.