Yog Raj Sood – författare

Electric Power Systems Resiliency: Modelling, Opportunity and Challenges considers current strengths and weaknesses of various applications and provides engineers with different dimensions of flexible applications to illustrate their use in the solution of power system improvement. Detailing advanced methodologies to improve resiliency and describing resilient-oriented power system protection and control techniques, this reference offers a deep study on the electrical power system through the lens of resiliency that ultimately provides a flexible framework for cost-benefit analysis to improve power system durability.

Aimed at researchers exploring the significance of smart monitoring, protecting and controlling of power systems, this book is useful for those working in the domain of power system control and protection (PSOP).

Features advanced methodologies for improving electrical power system resiliency for different architectures, e.g., smart grid, microgrid and macro grid Discusses resiliency in power generation, transmission and distribution comprehensively throughout Includes case studies that illustrate the applications of resilience in power systems

This volume provides a comprehensive exploration of how intelligent computational techniques are transforming sustainable energy systems. As the world shifts from centralized, fossil-based infrastructures to decentralized, renewable-based models, technologies such as AI, machine learning, IoT, and advanced analytics are becoming essential to optimizing performance, enhancing resilience, and securing long-term sustainability.The book covers:• Principles of sustainable development and the transition to renewable energy.• AI and ML applications for forecasting, optimization, and control in solar, wind, and hybrid systems.• Intelligent strategies for distributed power, smart grids, and demand response.• Circular economy imperatives in solar PV, from lifecycle analysis to closed-loop recycling.• Fault detection, predictive maintenance, and self-healing networks for resilient power systems.• AI-driven demand-side management, load forecasting, and flexibility optimization.• Methods to balance wind variability with hybrid storage and intelligent dispatch.By combining rigorous technical detail with practical applications, this book equips researchers, engineers, and policymakers with the tools to design and manage next-generation sustainable energy systems.

The book is a collection of high-quality, peer-reviewed innovative research papers from the International Conference on Signals, Machines and Automation (SIGMA 2018) held at Netaji Subhas Institute of Technology (NSIT), Delhi, India. The conference offered researchers from academic and industry the opportunity to present their original work and exchange ideas, information, techniques and applications in the field of computational intelligence, artificial intelligence and machine intelligence. The book is divided into two volumes discussing a wide variety of industrial, engineering and scientific applications of the emerging techniques.

The book is a collection of high-quality, peer-reviewed innovative research papers from the International Conference on Signals, Machines and Automation (SIGMA 2018) held at Netaji Subhas Institute of Technology (NSIT), Delhi, India. The conference offered researchers from academic and industry the opportunity to present their original work and exchange ideas, information, techniques and applications in the field of computational intelligence, artificial intelligence and machine intelligence. The book is divided into two volumes discussing a wide variety of industrial, engineering and scientific applications of the emerging techniques.

This book discusses key concepts, challenges and potential solutions in connection with established and emerging topics in advanced computing, renewable energy and network communications.