Ramesh C. Bansal – författare

Decision Making Applications in Modern Power Systems presents an enhanced decision-making framework for power systems. Designed as an introduction to enhanced electricity system analysis using decision-making tools, it provides an overview of the different elements, levels and actors involved within an integrated framework for decision-making in the power sector. In addition, it presents a state-of-play on current energy systems, strategies, alternatives, viewpoints and priorities in support of decision-making in the electric power sector, including discussions of energy storage and smart grids.

As a practical training guide on theoretical developments and the application of advanced methods for practical electrical energy engineering problems, this reference is ideal for use in establishing medium-term and long-term strategic plans for the electric power and energy sectors.

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).

Handbook on New Paradigms in Smart Charging for E-Mobility: Global Trends, Policies and Practices provides a complete package for understanding and developing smart chargers for e-mobility applications. It discusses various concepts required for developing charging infrastructure and usage of different kinds of storage technologies, power electronics converters, controllers, communication requirements, grid infrastructure, sustainable technologies, policy frameworks, and all other related crucial aspects of E-mobility.Each part of the book covers a subdomain of e-mobility, beginning with an introductory chapter reviewing existing literature; the subsequent chapters are arranged to each follow the previous one. Other available books focus on specific technical subdomains of e-mobility, but none provides the wider outlook to meet the requirements of all audiences. This book uniquely brings together topics that are not otherwise easily accessible or available to these audiences.

This book will be beneficial for engineers, scientists, and researchers, providing them with a comprehensive standard benchmark work to explore the evolving aspects of charging infrastructure for e-mobility. Further, it will also help policymakers, practitioners and government entities formulate policies for successful implementations of e-motility for their masses. The techno-socio-economic focus will serve as standard literature for all.

This CCIS conference volume constitutes the proceedings of the 24th International Conference, ACTET 2023, in Jaipur, India, December 2023. The 7 full papers together in this volume were carefully reviewed and selected from 89 submissions.

The conference addresses fundamentals of advanced scientific computing and specific mechanisms and algorithms for particular and to exchange their innovative ideas, knowledge, expertise, and experience in advance computing techniques in various domains of engineering and technology.

This book explains the application of Artificial Intelligence and Internet of Things on green energy systems. The design of smart grids and intelligent networks enhances energy efficiency, while the collection of environmental data through sensors and their prediction through machine learning models improve the reliability of green energy systems.

This book explains the application of Artificial Intelligence and Internet of Things on green energy systems. The design of smart grids and intelligent networks enhances energy efficiency, while the collection of environmental data through sensors and their prediction through machine learning models improve the reliability of green energy systems.