Artificial Intelligence-based Smart Power Systems 1st Edition

Artificial Intelligence-based Smart Power Systems, 1st Edition by Sanjeevikumar Padmanaban, Sivaraman Palanisamy, Sharmeela Chenniappan, and Jens Bo Holm-Nielsen delivers a forward-looking roadmap for modern power systems shaped by AI and digital transformation.

This authoritative volume captures the attention with clear explanations of how machine learning, deep learning, and optimization algorithms are redefining grid operations—from real-time load forecasting and predictive maintenance to resilient control of microgrids and large-scale integration of renewable energy. Written for engineers, researchers, utility planners, and advanced students, the text balances theory with practical case studies, simulation strategies, and algorithmic insights applicable to urban and rural grids across India, Europe, North America and the Asia-Pacific region.

Read on to discover actionable guidance on improving power system stability, enhancing demand response, and deploying AI-driven asset management that lowers operating costs and increases reliability. The book explains data pipelines, feature engineering, and model interpretability in the context of electrical networks, making complex topics accessible without sacrificing technical rigor.

Whether you’re modernizing a legacy grid, designing smart-city infrastructure, or advancing academic research, this edition equips you with the tools to implement scalable AI solutions that meet regional regulatory and operational needs. Practical diagrams, real-world examples, and clear algorithm walkthroughs make this an indispensable reference for professionals focused on grid modernization and sustainable energy transitions.

Order your copy now to stay at the forefront of AI-enabled smart power systems and turn the promise of intelligent grids into measurable performance gains for utilities and communities worldwide.

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