Krishan Arora – författare

Smart technologies, such as artificial intelligence and machine learning, play a vital role in modeling, analysis, performance prediction, effective control, and utilization of smart energy systems. This book presents novel concepts in the development of smart cities and smart grids as well as discusses the technologies involved in producing efficient and economically feasible energy technologies around the world.It comprehensively covers important topics, including optimization methods for smart grids, power converters, smart meters, load frequency control, automatic generation control, and power electronics for smart grids.This book focuses mainly on three areas of electrical engineering: control systems, power electronics, and renewable resources, including artificial intelligence for the development of smart electrical grids.Key Features• Clarifies how the smart grid plays an important role in modern smart technologies• Introduces the basic concepts of modernization of smart grid with the assumption of basic knowledge of mathematics and power systems• Describes the structure of technologies based on Internet of Things (IoT), which acts like a bridge to cover the gap between the physical and virtual worlds required for the realization of the smart grid• Includes practical examples of the smart grid and energy saving• Illustrates the integration of renewable energy sources with worked examples• Enables readers to engage with the immediate development of power systems by using smart approaches for future smart grids

Smart technologies, such as artificial intelligence and machine learning, play a vital role in modeling, analysis, performance prediction, effective control, and utilization of smart energy systems. This book presents novel concepts in the development of smart cities and smart grids as well as discusses the technologies involved in producing efficient and economically feasible energy technologies around the world.It comprehensively covers important topics, including optimization methods for smart grids, power converters, smart meters, load frequency control, automatic generation control, and power electronics for smart grids.This book focuses mainly on three areas of electrical engineering: control systems, power electronics, and renewable resources, including artificial intelligence for the development of smart electrical grids.Key Features• Clarifies how the smart grid plays an important role in modern smart technologies• Introduces the basic concepts of modernization of smart grid with the assumption of basic knowledge of mathematics and power systems• Describes the structure of technologies based on Internet of Things (IoT), which acts like a bridge to cover the gap between the physical and virtual worlds required for the realization of the smart grid• Includes practical examples of the smart grid and energy saving• Illustrates the integration of renewable energy sources with worked examples• Enables readers to engage with the immediate development of power systems by using smart approaches for future smart grids

Modern Computational Techniques for Engineering Applications presents recent computational techniques used in the advancement of modern grids with the integration of non-conventional energy sources like wind and solar energy. It covers data analytics tools for smart cities, smart towns, and smart computing for sustainable development.This book- Discusses the importance of renewable energy source applications wind turbines and solar panels for electrical grids. Presents optimization-based computing techniques like fuzzy logic, neural networks, and genetic algorithms that enhance the computational speed. Showcases cloud computing tools and methodologies such as cybersecurity testbeds and data security for better accuracy of data. Covers novel concepts on artificial neural networks, fuzzy systems, machine learning, and artificial intelligence techniques. Highlights application-based case studies including cloud computing, optimization methods, and the Industrial Internet of Things. The book comprehensively introduces modern computational techniques, starting from basic tools to highly advanced procedures, and their applications. It further highlights artificial neural networks, fuzzy systems, machine learning, and artificial intelligence techniques and how they form the basis for algorithms. It presents application-based case studies on cloud computing, optimization methods, blockchain technology, fog and edge computing, and the Industrial Internet of Things. It will be a valuable resource for senior undergraduates, graduate students, and academic researchers in diverse fields, including electrical engineering, electronics and communications engineering, and computer engineering.

Modern Computational Techniques for Engineering Applications presents recent computational techniques used in the advancement of modern grids with the integration of non-conventional energy sources like wind and solar energy. It covers data analytics tools for smart cities, smart towns, and smart computing for sustainable development.This book- Discusses the importance of renewable energy source applications wind turbines and solar panels for electrical grids. Presents optimization-based computing techniques like fuzzy logic, neural networks, and genetic algorithms that enhance the computational speed. Showcases cloud computing tools and methodologies such as cybersecurity testbeds and data security for better accuracy of data. Covers novel concepts on artificial neural networks, fuzzy systems, machine learning, and artificial intelligence techniques. Highlights application-based case studies including cloud computing, optimization methods, and the Industrial Internet of Things. The book comprehensively introduces modern computational techniques, starting from basic tools to highly advanced procedures, and their applications. It further highlights artificial neural networks, fuzzy systems, machine learning, and artificial intelligence techniques and how they form the basis for algorithms. It presents application-based case studies on cloud computing, optimization methods, blockchain technology, fog and edge computing, and the Industrial Internet of Things. It will be a valuable resource for senior undergraduates, graduate students, and academic researchers in diverse fields, including electrical engineering, electronics and communications engineering, and computer engineering.

This book focuses on exploring and showcasing advancements, breakthroughs, and emerging technologies in the field of energy generation and utilization, particularly those related to non‑conventional or alternative energy sources. It delves into various non‑conventional energy sources such as solar, wind, geothermal, tidal, and biomass and aims to provide in‑depth insights into the technologies associated with these sources. It discusses innovative approaches, recent developments, and technological breakthroughs within the realm of non‑conventional energy sources, addressing the environmental benefits of these energies while highlighting their potential to reduce greenhouse gas emissions, combat climate change, and promote sustainable energy practices. This book:Provides real‑world examples and case studies of successful non‑conventional energy projectsTakes an interdisciplinary approach by integrating knowledge from various fields such as engineering, environmental science, economics, and policy, offering a holistic understanding of the subjectEmphasizes the environmental benefits of non‑conventional energy sources and their contributions to reducing carbon emissions and combating climate changeDiscusses the policies, regulations, and government incentives that influence the adoption of non‑conventional energy sources, explaining how these factors can drive innovationIncludes a global perspective by showcasing innovations and projects from different regions and highlighting how various countries are approaching renewable energyIt serves as a comprehensive resource for researchers, professionals, policymakers, and anyone interested in understanding the latest innovations and trends in the field of non‑conventional energy sources, with an emphasis on sustainability, environmental responsibility, and energy security.

This book comprehensively covers core algorithms and techniques used in artificial intelligence (AI) and machine learning (ML) for engineering applications. It further explores the use of AI in civil and structural engineering, quality control, and product design.Features:Presents autonomous robots using onboard computing and artificial intelligence (AI) algorithms to process the data from their sensors and make real-time decisionsDiscusses nature-based optimization-based computing techniques to enhance the computational speed for solving engineering problemsProvides conceptual and practical knowledge about the design of modern computation techniques with advanced tools and methodologiesHighlights the importance of using smart techniques including AI and ML in product design and developmentCovers time series analysis and forecasting in engineering, robotic process automation, and autonomous robots in manufacturingThe text is primarily written for senior undergraduates, graduate students, and academic researchers in the fields of electrical engineering, electronics and communications engineering, computer science and engineering, manufacturing engineering, and environmental engineering.

Artificial intelligence (AI) is no longer just a futuristic concept—it is transforming the way we design, build, and manage electrical machines and intelligent systems today. This groundbreaking volume showcases the convergence of AI, machine learning, and modern engineering, offering a window into the technologies shaping tomorrow’s mobility, energy, and digital ecosystems.From intelligent safety in electric vehicles and predictive maintenance of machines to additive manufacturing, smart disaster management, and Industry 5.0 integration, each chapter presents state-of-the-art research with practical applications. Readers will discover how advanced algorithms enhance machine design, optimize charging station placement, secure cloud pipelines, and redefine data-driven decision-making. The book not only delivers technical depth but also addresses ethical and societal questions, ensuring a holistic understanding of AI’s role in the modern world.Ideal for engineers, researchers, and technology leaders, this book provides both inspiration and actionable insights. Academics and graduate students will find it a rich resource for advancing research, while professionals in mobility, energy, and Internet of Things industries can directly apply its ideas to real-world innovation. For anyone eager to harness the power of AI in engineering and beyond, this volume is an indispensable guide.

Advanced Smart Grid Technologies: Industry Applications and Integration Strategies offers a comprehensive exploration of the cutting-edge innovations and integration techniques shaping the future of power systems. This edited volume brings together leading researchers and industry experts to present real-world case studies, emerging technologies, and strategic frameworks that enable efficient, secure, and sustainable energy management.This book:Explores the full spectrum of smart grid technologies, including AI, IoT, machine learning, blockchain, and digital twin concepts.Includes real-world applications from sectors such as manufacturing, transportation, utility services, and smart cities.Provides insight into practical frameworks for integrating distributed energy resources (DERs), microgrids, and renewable energy systems into existing infrastructures.Discusses securing smart grid networks and enhancing resilience against cyber threats and grid failures.Analyses international standards, regulatory policies, and smart grid deployment challenges in various regions.Provides forward-looking chapters that outline the trajectory of smart grid development and emerging opportunities.Covering everything from IoT, AI, and blockchain applications to grid automation, cybersecurity, and renewable energy integration, this book serves as a critical reference for professionals, academics, and policy-makers involved in the evolution of smart grid systems across global industries.

ELECTRIC VEHICLE DESIGN This book will serve as a definitive guide to conceptual and practical knowledge about the design of hybrid electrical vehicles (HEV), battery electrical vehicles (BEV), fuel cell electrical vehicles (FCEV), plug-in hybrid electrical vehicles (PHEV), and efficient EV charging techniques with advanced tools and methodologies for students, engineers, and academics alike. This book deals with novel concepts related to fundamentals, design, and applications of conventional automobiles with internal combustion engines (ICEs), electric vehicles (EVs), hybrid electric vehicles (HEVs), and fuel cell vehicles (FCVs). It broadly covers vehicle performance, configuration, control strategy, design methodology, modeling, and simulation for different conventional and hybrid vehicles based on mathematical equations. Fundamental and practical examples of conventional electrical machines, advanced electrical machines, battery energy sources, on-board charging and off-board charging techniques, and optimization methods are presented here. This book can be useful for students, researchers, and practitioners interested in different problems and challenges associated with electric vehicles. Furthermore, in explaining the design methodology of each drive train, design examples are presented with simulation results.

Energy-Efficient Communication Networks is essential for anyone looking to understand and implement cutting-edge energy optimization strategies for communication systems, ensuring they meet growing energy demands while seamlessly integrating renewable energy sources and enhancing battery life in embedded applications. Renewable energy, including solar, wind, and geothermal energy, for communication networks is a key area of exploration for meeting the demands of their increasing energy requirements. Scheduling and power cycle optimization are instrumental in deciding the effectiveness of these networks. Apart from communication, embedded systems running on batteries designed for data processing applications also face restrictions in terms of battery life—targeting low-energy consumption-based systems is particularly important here. The increased usage of sensor networks for personal and commercial applications has resulted in a surge of development to create energy-aware protocols and algorithms. This book introduces energy optimization concepts for current and future communication networks and explains how to optimize electricity for wireless sensor networks and incorporate renewable energy sources into conventional communication networks. It gives readers a better understanding of the difficulties, limitations, and possible bottlenecks that may occur while developing a communication system under power constraints, as well as insights into the traditional and recently developed communication systems from an energy optimization point of view.

Drive the global shift toward sustainability with this comprehensive guide that explores the latest advancements in renewable energy technologies, smart grids, and energy storage and providing the expert policy and economic insights needed to navigate the green energy transition. As the world faces the pressing challenges of climate change, resource depletion, and environmental degradation, green energy offers a path toward reducing carbon emissions and fostering economic resilience. This book outlines the latest technological advancements and considers the broader economic, social, and political factors influencing the green energy transition. Through case studies, real-world examples, and expert insights, readers will gain a comprehensive understanding of the role of renewable energy in shaping a sustainable future. The book centers around the transformative potential of green energy, exploring the technologies, innovations, and policies driving the global shift toward sustainable power generation. Covering a wide spectrum of renewable energy sources, such as solar, wind, hydro, geothermal, and biomass, the book examines how these alternatives are reshaping the energy landscape. By discussing advancements in energy storage, smart grids, and energy efficiency, the book delves into the solutions that address the growing global demand for cleaner, more sustainable energy.