HBK

Machine Learning and Deep Learning Driven Techniques for Multimodal Data Security in the Internet of Multimedia Things

Tue, 12 May 2026 13:32:37 GMT

We are living in an AI and data-driven era. A huge volume of data is generated from all sectors including smart cities, intelligent transportation systems, smart healthcare, education, smart agriculture and smart industrial processes. This information comprises multiple modalities such as textual data, images, sound, gestures and genetic sequences, which are generated through various sources.

The internet of multimedia things (IoMT) is one of the key contributors to the collection, analysis and management of voluminous multimodal data. The dominating features of IoMTs are well-timed delivery of data and dependability, but they require high levels of memory and computational power, which requires higher bandwidth and more power. Therefore, they require rigorous quality of service (QoS) and efficient, reliable and secure network frameworks.

The objective of this book is to explore machine learning (ML) and deep learning (DL) techniques for securing data with multiple modalities in a wide range of data-centric smart applications in the IoMT framework. In all data-centric application domains where on-time availability of data and reliability are the major concerns, IoMT is contributing significantly. The authors present the challenges faced to organize and process multimodal data in data-centric applications, several types of data modalities, and innovative IoMT frameworks. A particular focus is placed on the role of ML and DL techniques in securing multi-modal data for real-time monitoring in smart environment applications.

Machine Learning and Deep Learning Driven Techniques for Multimodal Data Security in the Internet of Multimedia Things caters to the needs of AI, big data and IoT advanced students, academic and industry researchers, engineers, security experts, data analysts, and AI and data-centric application developers.

Surge Protection for Low Voltage Systems, 2nd Edition

Tue, 12 May 2026 13:29:17 GMT

In an increasingly automated world - characterised by smart cities, intelligent buildings, and the ongoing global energy transition - the protection of electrical and electronic equipment from lightning strikes and other power surges is essential to the safety and reliability of key technologies.

Surge Protection for Low Voltage Systems, 2nd Edition provides a comprehensive discussion on the concepts, design, and implementation of surge protection for a spectrum of applications. Readers will find it to be a useful guide in the application of surge protection and assessment of the risk of overvoltages and impulse currents due to exposure to direct and indirect lightning. The book discusses industrial and residential applications incorporating selection of surge protective devices (SPDs) for power, telecom and signalling systems, including DC applications. Power generation applications associated with nuclear power plants, wind turbines and photovoltaic installations are addressed. Other applications covered range from street lighting to data centres, electric vehicle (EV) and boat charging stations and cathodic protected oil and gas pipelines. Those looking for details specific to SPDs and their associated components will find this book particularly useful.

This new edition of the book has been thoroughly updated, with new coverage including photovoltaic components, EV charging, and interactions with inverters. Most chapters have been substantially revised; chapter 2, which deals with the physics of lightning, is the only exception. Researchers in industry and universities who work with low voltage systems, as well as utilities professionals and advanced students and more generally all people involved in EMC (electromagnetic compatibility) or designing surge and lightning protection systems, will find this to be a valuable reference. The book aims to provide answers to all readers' questions from the simplest to the most complex, including guidance on the application of SPDs illustrated by many cases studies

The Convergence of AI, IoT, Smart Sensors and Remote Sensing for Sustainable Smart Environment Applications

Tue, 12 May 2026 13:26:56 GMT

AI and data-driven methods, particularly machine and deep learning models, have revolutionized image processing tasks such as object detection and segmentation, as well as inverse sensing tasks such as atmospheric condition monitoring. These models enable highly accurate predictions from large, labelled datasets. However, one of the key challenges with current AI systems is their opacity. While they deliver precise results, they often fail to provide clear insights into the underlying mechanisms driving these predictions. The lack of interpretability, especially in the context of sensing data, complicates the understanding of how internal features are represented and utilized. This issue is particularly pronounced in smart environment applications, where artificial intelligence techniques are increasingly employed, yet their internal workings remain largely opaque.

In this edited book, the contributors explore the potential of machine intelligence, deep learning and sensing technologies, with a focus on their integration and applications. They present new methods, cutting-edge technologies and practical solutions to real-world challenges. The goal is to help readers better grasp the concepts necessary for designing and deploying the next generation of smarter and more sustainable systems and environments.

The Convergence of AI, IoT, Smart Sensors and Remote Sensing for Sustainable Smart Environment Applications is a useful reference for researchers, engineers and scientists in academia and industry, as well as advanced students in the fields of data science and security, AI and networking, communication engineering, smart sensing, remote sensing and automation. It will also be of interest to system designers and developers of AI and sensing technologies for smart environment applications.

Antenna Solutions for Next Generation Enhanced Wireless Sensing Systems

Tue, 12 May 2026 13:24:18 GMT

Antennas have evolved beyond telecommunications to support sensing, wireless power transfer, and energy-harvesting electronic systems. As wireless technologies move toward intelligent and interconnected infrastructures, electromagnetic and radio-frequency sensing are becoming essential components of next-generation healthcare monitoring and smart environments, as well as industrial inspection and autonomous systems. To fully leverage these opportunities, such systems require interdisciplinary expertise ranging from fundamental antennas and propagation research to active antennas and applied radio-frequency technologies, as well as circuits and systems, advanced materials, and AI and machine learning.

This edited book covers interdisciplinary applications with emphasis on antenna-based sensing, RFID, and multi-functional diversity antennas for joint communication, sensing, and wireless power transfer. Emerging and well-established topics are explored, including research on antenna-based and wireless sensors that incorporate novel physical concepts. By bringing together contributions from multiple EM sensing perspectives, this book provides a unified resource for understanding how antenna technology is redefining the landscape of electromagnetic sensing. It highlights advances in antenna configurations, sensing architectures, fabrication techniques, artificial intelligence-assisted sensing, wearable and implantable devices, sustainable and circular electronic systems, integrated sensing and communication platforms, and programmable metasurface antennas and reflective surfaces, for the EM sensing domain.

Antenna Solutions for Next Generation Enhanced Wireless Sensing Systems is written for researchers, engineers, and students working at the intersection of antennas, electromagnetic metamaterials, wireless systems, signal processing, and RF sensing technologies across microwave, mmWave, and THz regimes. The book will also be of interest to those working in the closely related fields of IoT, electronics, energy harvesting, RF and microwave engineering, circuits and systems, and advanced electromagnetic materials.

Algorithms and Numerical Techniques for Modern Antenna Measurements in MATLAB

Mon, 13 Apr 2026 08:48:48 GMT

Algorithms and Numerical Techniques for Modern Antenna Measurements in MATLAB is a landmark resource that brings clarity, transparency, and practical utility to one of the most complex and rapidly evolving areas of modern RF engineering. Written by recognised experts Stuart Gregson and Marc Dirix, this book bridges the critical gap between classical electromagnetic theory, antenna metrology, and the computational techniques that underpin today's industrial and research-grade measurement systems.

Drawing on decades of hands-on experience in industry, academia, and standards-driven environments, the authors present a comprehensive suite of robust, portable, and fully explained MATLAB® algorithms for processing, interpreting, and validating antenna measurements across planar, cylindrical, and spherical near-field ranges. Each chapter carefully connects mathematical foundations with implementation‑ready code, empowering practitioners not only to use the algorithms but to truly understand them.

From coordinate transformations, polarisation handling, and far-field data extraction, to advanced mode expansions, probe compensation, measurement correction, and scattering suppression, this book provides a uniquely complete and practical treatment of the digital backbone of antenna metrology. The included modelling and simulation tools enable engineers to generate reliable verification data, explore measurement scenarios, and build digital twins of antenna ranges - capabilities increasingly essential in an era of automation and robotic measurement systems.

Whether you are a postgraduate researcher, antenna engineer, measurement specialist, or developer working with RF systems, Algorithms and Numerical Techniques for Modern Antenna Measurements in MATLAB offers an indispensable reference that demystifies the "black‑box" numerics of antenna measurements and equips you with a powerful, extensible toolkit for modern practice.

Digital Transformation in Maritime Transportation and Logistics

Mon, 13 Apr 2026 08:44:49 GMT

In an era marked by rapid technological advancements and globalization, the maritime transport and logistics industry stands at the forefront of transformation. Digital technologies are being used to improve efficiency, reliability, and sustainability within global maritime transportation and logistics, including for port management, end-to-end logistics coordination, and data sharing for supply chains.

Digital Transformation in Maritime Transportation and Logistics offers a comprehensive exploration of how digital technologies are reshaping the landscape of global maritime transport and trade. From port operations to technological advancements, this book delves into the key concepts, challenges, and opportunities driving the maritime industry forward. The book also reflects the growing importance of sustainable practices in this industry.

The book gives a holistic overview of maritime transport systems and global logistics, covering both foundational concepts and cutting-edge developments in the digital age. It offers insights from industry experts and practitioners, providing real-world perspectives on the challenges and opportunities facing the industry.

Key topics such as port operations, global trade routes, environmental sustainability, and cybersecurity are included, providing an international perspective on current and future digital advancements in maritime technology and operations.

Researchers and academics working on maritime transport, logistics, and digitalization will find that this book offers thorough and systematically-structured coverage of their field of interest. Professionals in the maritime transport and logistics industry will also find this book a useful resource in staying abreast of the latest trends and technologies.

AI for Wind Turbine Performance and Condition Monitoring

Mon, 13 Apr 2026 08:42:26 GMT

Wind power is unanimously recognized as one of the major drivers of the energy transition. Increasing renewable power generation introduces significant challenges for both the operation and planning of power systems, driven by the intrinsic uncertainty of stochastic renewable resources and by the growing spatial distribution of generation assets. Wind power presents a distinctive set of challenges in this context.

Wind turbines are complex machines operating under highly non-stationary conditions and are composed of tightly coupled mechanical, electrical, and electronic subsystems. In order to ensure reliable power system operation and to minimize the levelized cost of energy, it is essential to continuously monitor the health status of wind turbines, and to improve the efficiency of wind energy conversion as much as possible. Artificial intelligence has the potential to help address these challenges.

The objective of this book is to address the gap between domain expertise in wind energy and the rapid proliferation of machine learning techniques. While advanced data-driven models offer unprecedented flexibility and predictive capabilities, their increasing complexity can come at the cost of transparency, physical interpretability, and engineering insight. Bridging this gap demands a critical understanding of the problem at hand, a clear definition of the operational objective, and a conscious selection of the most appropriate techniques compatible with the available data sources.

Offering concise but thorough coverage of the topic, AI for Wind Turbine Performance and Condition Monitoring explores data sources from turbines and fleets, reviews the fundamentals of ML, then covers AI-based wind turbine performance analysis, AI-based detection of static misalignment and sensor errors, and condition monitoring for wind turbine maintenance.

Wind power researchers in academia and industry, grid operators, and maintenance managers will find this book offers a valuable overview and analysis of AI-based methodologies for wind generators.

Thermal Energy Networks and Storage

Mon, 13 Apr 2026 08:40:26 GMT

Scientists and policymakers worldwide recognise that continuing to use fossil fuels (coal, oil and gas) to produce useful energy with the inevitable emissions of CO₂ and other greenhouse gasses is leading to changes in the world's climate with potentially catastrophic consequences. Both mitigation of the emissions of greenhouse gases as well as adaptation to the changing environment are urgently required to manage the worst effects of climate change.

Limiting greenhouse gas emissions from thermal energy is a key part of the solution, with its own set of challenges and opportunities. Widespread use of technologies for transporting and storing thermal energy is needed. District heating and cooling networks are well established in some countries but are now being adopted much more widely. Low carbon thermal energy can be sourced from heat pumps, combined heat and power plants using renewable fuels, and from waste heat, increasingly from IT facilities. Technologies exist at various power levels and timescales. Energy storage materials range from water and concrete to phase change materials.

Thermal Energy Networks and Storage discusses thermal energy networks and thermal energy storage as well as buildings that maintain comfortable temperatures with minimum energy requirements. Chapters systematically cover these topics, and then the necessary integration of thermal energy and electricity networks.

This book has been written with an audience of research and development professionals, providers of thermal energy network components as well as academic researchers in mind. It will also be a valuable reference for undergraduate and postgraduate students with an interest in thermal energy.

Understandable Mathematics for Electrical Circuits, Electronics, and Computing Applications

Mon, 13 Apr 2026 08:38:05 GMT

Electric circuits and electronics are vital to the functioning of modern technologies that we use every day, and the rise of computer technology has led to many different applications, for example artificial intelligence, robots, quantum computing, machine learning, and the internet of things (IoT).

Mathematics is an essential tool for understanding and mastering electric circuits, electronics, and computer technology. A thorough understanding of mathematics enables one to analyze and solve complex problems in these fields, and is essential for designing and implementing electronic and computer systems.

Understandable Mathematics for Electrical Circuits, Electronics, and Computing Applications: Key concepts provides a comprehensive overview of the fundamental mathematical concepts required in the fields of electric circuits, electronics, and computers. It reviews fundamental mathematics and algebra concepts, then takes the reader through key mathematics for electric circuits and electronics, calculus for electric circuits, and mathematics for computing, including topics such as Boolean logic, Karnaugh maps, and number systems.

This book is a concise study guide for readers and an ideal resource for those who are looking to study, review, or refresh their knowledge quickly and effectively.

Concepts, Methodologies and Technologies for Domestic Retrofit

Mon, 13 Apr 2026 08:35:45 GMT

Domestic retrofitting is the process of adding new features, components, or technology to an existing residential building to improve its sustainability - including performance, energy efficiency, safety, functionality, and comfort. This is done by upgrading older structures to meet modern standards, such as improving insulation, replacing windows, installing new heating systems, and reducing energy consumption to lower utility costs and environmental impact. The issue of domestic retrofit has presented itself as a "wicked problem". The complex inter-relationships between policy, skills infrastructure, supply chains, finance, markets and other socio-technical issues, have made the policy difficult to formulate and implement. Expertise needs to stretch across technical subjects such as building physics and data analytics, through delivery issues such as skills and supply chain, to understanding the outcomes for people in their homes.

Concepts, Methodologies and Technologies for Domestic Retrofit addresses three main themes: enabling retrofit, delivering retrofit and evaluating retrofit. Enabling retrofit looks at the context for delivering retrofit and understanding the structures that need to be in place to deliver the necessary upscaling. This considers place-based approaches, finance models, target setting and understanding how to develop a pipeline, particularly in harder to reach sectors such as the private rented or owner occupier sectors. Delivering retrofit considers the processes that lead to a high-quality retrofit. Effective assessment, quality systems, technical choices and the development of supply chains, all underpin an effective delivery system. Finally, the authors consider evaluation of retrofit. New methods and access to data have changed the way retrofit is understood in terms of real performance, so the authors discuss the current state of the art and emerging approaches. The outcomes are not purely technical; the impacts for people in their homes and how they have viewed retrofit are also considered, not only in terms of energy saving, but also their comfort and health.

The book is targeted not only at an academic audience, but also practitioners and policy makers. It aims to provide clear practical guidance, linkages to the latest thinking and practice and a practical perspective on the problems and opportunities presented by domestic retrofit.

Radar Interference Matters

Fri, 06 Mar 2026 17:36:30 GMT

Radar Interference Matters is rooted in 25 years of real-world radar interference experience. The author began work on a radar interference investigation in 2000, expecting it to last six months - yet aspects are still ongoing. Many interference and coexistence cases followed over the years, and these have shaped a wider understanding of spectrum coexistence, safeguarding, and interference management. Professionals often had to "feel their way through" these problems due to a lack of structured guidance. That gap in practical, experience-based knowledge provided the inspiration for the book.

Each chapter has been inspired by real interference, coexistence and spectrum planning cases spanning air traffic control, air defence, space defence, vessel tracking service and meteorological radars. One chapter is dedicated to the problems of wind turbine interference to radar, and features updates on the author's previous book on the topic. The book includes a bibliography, and a chapter identifying future work in spectrum engineering, including AI applications and evolving regulatory needs.

The book is aimed at radar and spectrum engineers who are addressing radar interference matters, as well as researchers and students learning about radar interference.

Condition Monitoring of Rotating Electrical Machines, 4th Edition

Fri, 06 Mar 2026 17:33:21 GMT

Rotating electrical machines are embedded in nearly every sector of modern industry; they are widely used in industrial settings, as motors in transportation applications - including electric vehicles - and in power generation, where they are a key component of wind turbines.

Technical advances are transforming what these machines can achieve. New developments in rotating electrical machinery have arisen from novel or improved materials, including new insulation materials, as well as advances in electrical steels and high-performance permanent magnets, and more rapid mass production techniques. These improvements deliver benefits such as cheaper and faster manufacturing and enhanced performance from the final products. At the same time, condition monitoring and maintenance techniques are also changing rapidly through increased application and further research and development, and are becoming essential to ensuring reliability, availability and cost-effectiveness for electrical machine systems, from small industrial drives to multi-megawatt generators.

Condition Monitoring of Rotating Electrical Machines has established itself as a definitive reference for researchers and engineers in the energy, transport, process engineering and manufacturing industries and in related academic research. Coverage includes fundamental principles of condition monitoring, plus in-depth discussion of reliability, signal processing, online temperature, chemical and vibration monitoring, current, flux and power monitoring, partial discharge detection, drive monitoring, off-line monitoring, condition-based maintenance, use of AI and machine learning, and safety and training.

This 4th Edition has been expanded, revised and updated throughout, and features new chapters, addressing novel machine designs, new materials, clean energy and transport, the use of AI, and strategies for reliability, availability and maintenance.

Tactical Missiles - From Concepts to Components

Wed, 11 Feb 2026 15:27:58 GMT

Tactical missiles target military installations or key civilian infrastructure in the vicinity of the front line. With the growth in the deployment of remotely guided UAVs, launch locations of guided missiles are getting closer to their targets. The tactical missiles covered in these 3 volumes are expected to play critical roles in the new generation of localised battlefields.

Offering an advanced introduction to tactical guided missiles, Tactical Missiles - From Concepts to Components bridges the gap between the well-established theories of combustion, fluid mechanics, explosive materials, and modelling and control in the context of guided missile design. Volume 1 covers propulsion and aerodynamics, Volume 2 covers guidance and control, and Volume 3 focuses on warheads.

Encompassing multiple subject areas, from mathematics, physics, and chemistry as well as several branches of engineering, the author brings together his broad expertise developed from decades in academia and the defence sector, in order to provide this advanced introduction to new graduates joining the missile industry. The books will also be a useful reference for researchers and post graduate students in defence, UAV, aerodynamics and radar departments and courses at universities worldwide.

Tactical Missiles - From Concepts to Components

Wed, 11 Feb 2026 15:25:55 GMT

Tactical Missiles - From Concepts to Components

Wed, 11 Feb 2026 15:23:39 GMT

GNSS-Enabled Autonomous Navigation

Wed, 11 Feb 2026 15:21:20 GMT

The world is moving into an era of unprecedented transformation driven by automation and intelligent systems. This future hinges not just on artificial intelligence and machine learning's intelligence but also - fundamentally - on autonomous systems' ability to know where they are and how they are moving with precision, dependably, and continuously. Navigation is the centre of all autonomous platforms. Navigation is that foundational ability whereby a system can be aware of where it is, where it must go, and how to get there safely. Global Navigation Satellite Systems (GNSS) not only enable navigation but also synchronization of telecommunications networks, electricity distribution and financial transactions, and constitute a central infrastructure of the digital age.

GNSS-Enabled Autonomous Navigation: Principles, technologies and challenges begins with an exposition of GNSS fundamentals, including satellite positioning concepts, signal structures, error sources, and system quality indicators - accuracy, integrity, continuity, and availability. It then presents an introduction to the augmentation and improvement methods that enhance GNSS capabilities to meet requirements for autonomous applications. The unifying theme of this book is the application of GNSS in the development of autonomous systems in various spheres. Chapters cover the role of GNSS in the development of autonomous ground vehicles, improving maritime navigation, aviation systems, robotics, and agricultural technology.

By bringing together theory and vision for the future, the book is aiming to provide researchers, engineers, and students with a comprehensive understanding of how GNSS is the key to autonomous navigation system development. The book brings to fore that the path towards full autonomy will be based on the complete convergence of navigation, communication, and intelligent decision-making technologies.

Flow Turbulence Engineering in Transport

Wed, 11 Feb 2026 15:17:22 GMT

Turbulence in transportation occurs in the aerodynamics of vehicles, hydrodynamics of watercrafts, and combustion engines, amongst others. Turbulent flows can greatly affect the performance of vehicles, from air and water resistance, noise, and combustion quality - but it can also be exploited to improve the efficiency of the involved engineering operations. Understanding how turbulence effects occur within various transport modes can help engineers build better performing and safer vehicles, and overall improve transport networks.

This book provides a timely update on turbulence research within transportation, and the exploitation of turbulent flow for more efficient transport, through aerodynamics, hydrodynamics and combustion engine improvement.

The book starts with an introduction to the many scenarios in which flow turbulence can be further harnessed within transportation engineering. Later the book details selected latest applications of flow turbulence to enhance the efficiency of essential engineering operations in transport, in particular in aerodynamics and combustion engines.

Flow Turbulence Engineering in Transport is a useful aid for new and experienced researchers and engineers working in thermofluids, especially those whose research involves turbulent flow. It offers a look at selected latest exploitations of flow turbulence in enhancing the efficiency of essential engineering operations in transport, highlighting the latest and future advancements in this field.

Control, Learning and Optimization with Applications in Connected and Autonomous Vehicles

Wed, 11 Feb 2026 15:14:49 GMT

Connected and autonomous vehicles (CAVs) have enormous potential to shape the future of transportation. As this complex and dynamic field grows, researchers are looking for ways to improve the efficiency and performance of CAVs. Through employing predictive modeling, machine learning, and advanced sensor fusion approaches, CAVs can anticipate and respond to hazardous situations with greater precision and speed. Control algorithms coupled with real-time data analysis enable CAVs to achieve significant reductions in energy consumption without compromising performance or safety.

This book investigates the convergence of control, learning, and optimization techniques used to enhance CAV safety, mobility, energy efficiency, and overall performance, helping readers gain a deeper understanding of the key developments and emerging trends in CAV technologies.

It includes chapters on human-vehicle shared control, vehicle platooning, motion prediction and planning for autonomous vehicles, predictive and adaptive cruise control, reinforcement learning, energy optimisation, as well as cyber-security and privacy issues in learning-based vehicle control.

This book is a comprehensive resource for researchers and advanced students interested in the transformative potential of CAVs in future transport and looking for further insights to navigate this complex and dynamic field.

Cybersecurity in Banking

Wed, 11 Feb 2026 15:12:17 GMT

Technology plays a pivotal role in today's financial landscape. Ensuring cybersecurity and safety in the banking sector has become paramount. The pervasive integration of technology in banking operations has brought unprecedented convenience but also heightened the vulnerability of financial institutions to cyber threats. High-profile breaches and the potential consequences of compromised financial data have underscored the urgency of comprehensively addressing cyber security and safety in banking.

Cybersecurity in banking faces unique challenges due to the complex nature of financial transactions and the attractiveness of banks as prime targets for cybercriminals. The challenges include the constant evolution of cyber threats, insider threats, and the need to balance security measures with customer convenience. Educating customers about cyber threats and safe online practices is a critical component of cyber security in banking. Banks must actively engage in awareness campaigns, providing customers with information on identifying phishing attempts, secure online banking practices, and the importance of regularly updating passwords.

This book aims to dissect the multifaceted challenges posed by cyber threats in today's dynamic banking landscape and propose novel fintech approaches to fortify the security fabric of the banking sector. The ultimate aim is to raise awareness about the challenges, promote proactive measures, and contribute to the safeguarding and integrity of the financial sector. Researchers, engineers and scientists in academia and industry working in the fields of cybersecurity and fintech, and in related areas of computing, data science, artificial intelligence, mobile and wireless computing and networking, will find this book to be a useful source of information on developments in its field.

Communication, Control and Security Challenges for the Smart Grid, 2nd Edition

Wed, 11 Feb 2026 15:09:57 GMT

Smart grids are electrical grids using ICT and two-way communications to enable varying two-way flows of electricity and information for the integration of distributed renewable generation and power storage. Research and development in this field centres on three main areas; the infrastructure system, the management system, and the protection. The integration of advanced communication, sensing, control, and optimization techniques into traditional power systems is a key challenge in transforming conventional grids into smart grids, and so empowering consumers with real-time information and control over their power usage and production.

This second edition of a well-established book strengthens the interdisciplinary approach of the original, combining technical depth with practical relevance, and offering updated information on recent developments. Content has been added on AI, machine learning, advanced power electronics, and the energy internet, highlighting their potential to revolutionize the power sector.

Volume 1 covers smart grid architecture and communications, sensing devices, WAM, bad data detection, energy management and smart distribution, role of energy storage, and integration of plug-in electric vehicles.

Volume 2 conveys multi-agent-based control, compressive sensing, stability enhancement, security analysis and related policies and regulations, controlled islanding, machine learning for solar power prediction, use of blockchain technology in smart grids, and peer-to-peer and peer-to-grid (P2G) energy trading.

These volumes are intended as references for researchers in academia and industry who are involved with power grids, related power electronics and distributed renewable generation. Policy makers, grid operators, and advanced students in electrical and energy engineering, will also find useful and relevant content here.