Statistical Relational Artificial Intelligence in Photovoltaic Power Uncertainty Analysis

Capture the complexity of solar forecasting with Statistical Relational Artificial Intelligence in Photovoltaic Power Uncertainty Analysis by Xueqian Fu — a rigorous, accessible guide for researchers, engineers, and energy planners navigating PV uncertainty in today’s renewable grids. This book brings together advanced statistical relational AI techniques and practical photovoltaic (PV) power uncertainty analysis to improve forecasting accuracy, risk assessment, and operational decision-making across solar markets worldwide.

Dive into a clear exposition of relational probabilistic models, uncertainty quantification, and scalable learning algorithms tailored for PV systems. Fu mixes theory with application, demonstrating how statistical relational approaches outperform traditional methods when modeling spatial-temporal dependencies, sensor networks, and heterogeneous data sources common in solar parks and distributed generation. Case studies and regional examples span Europe, North America, and rapidly growing solar markets in Asia and Latin America, making the content globally relevant.

Whether you are a data scientist building PV forecasting pipelines, a grid operator managing variability, or a policymaker setting renewable integration strategies, this book equips you with actionable methods: improved probabilistic forecasts, robust anomaly detection, and decision-support tools that reduce curtailment and balance reserve costs. The narrative balances mathematical depth with practical guidance, including model selection, feature engineering, and evaluation metrics tailored to real-world PV deployments.

Illuminate uncertainty and gain confidence in solar power planning with Xueqian Fu’s authoritative treatment of statistical relational AI for photovoltaic systems. Add this indispensable resource to your professional library to enhance forecasting performance, inform investment decisions, and support the transition to clean, reliable energy. Order your copy today and start transforming PV uncertainty into actionable insight.

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