Big Data Application in Power Systems 2nd Edition

Capture the future of electric grids with Big Data Application in Power Systems, 2nd Edition by Reza Arghandeh and Yuxun Zhou. This authoritative guide cuts through complexity to show how big data, machine learning, and advanced analytics are reshaping modern power systems and smart grids worldwide.

Discover clear, application-focused explanations of data-driven techniques for forecasting, anomaly detection, state estimation, renewable integration, and grid resilience. The authors translate academic rigor into practical frameworks—bridging the gap between theory and utility-scale deployment—so engineers, operators, and decision-makers can confidently apply analytics to real-world challenges.

You’ll gain actionable insights into scalable architectures, algorithm selection, and performance evaluation tailored to contemporary power networks. The updated 2nd Edition expands coverage of machine learning workflows, cyber-physical considerations, and use cases from transmission to distribution systems, making it essential for professionals navigating the energy transition.

Ideal for power system engineers, data scientists, researchers, consultants, and policy planners across North America, Europe, Asia, and beyond, this book equips readers with the tools to improve reliability, optimize operations, and integrate renewables more effectively. Concise case studies and practical examples accelerate learning and support immediate implementation.

Make informed decisions for your grid modernization projects—add Big Data Application in Power Systems, 2nd Edition by Reza Arghandeh and Yuxun Zhou to your professional library today and lead the data-driven transformation of energy systems.

Note: eBooks do not include supplementary materials such as CDs, access codes, etc.