Explore the cutting-edge intersection of data analytics and condition monitoring within smart grid technology. Intelligent Data-Analytics for Condition Monitoring: Smart Grid Applications delves into the advanced techniques used to optimize the performance and reliability of electrical grids. This book provides a comprehensive overview of how machine learning, deep learning, and statistical analysis are leveraged to detect anomalies, predict failures, and improve overall grid efficiency. Discover insightful case studies and real-world examples that showcase the practical application of these intelligent systems. Learn about the challenges and opportunities in implementing data-driven condition monitoring for smart grids, including data acquisition, processing, and visualization. Gain valuable knowledge on how to enhance grid resilience, reduce downtime, and help a more sustainable energy future through the power of intelligent data analytics. Book for researchers, engineers, and anyone interested in the future of smart grids and energy management.