Welcome to IET Digital Library
The IET Digital Library holds more than 190,000 technical papers from 1994 onwards for all IET journals, magazines, books, conference publications and seminar digests, the IET's member magazine Engineering & Technology, plus seminar digests and conference publications. Find out more about the Digital Library.
Latest Books
Upgrading Urban Power Grids
Today, more than half the global population lives in cities, and two thirds are expected to do so by 2050. Cities need technologies to reduce greenhouse gas emissions from energy, transport and heating, which requires distributed renewable electricity, from rooftop solar, small wind and other sources, in order to cleanly generate enough electricity to meet cities' needs. However, most urban electricity grids were not designed to manage distributed energy generation and the benefits of smart grids. Distribution systems therefore need to be strengthened and updated with the new technology offered by the hardware and software available, in order to maintain power quality and meet the requirements of reliability requested by regulatory bodies.
The book opens with an introductory chapter, outlining the topic and explaining the importance of and motivations for upgrading urban power grids. Further chapters cover modelling, load management and demand response, reliability and fault location isolation and service restoration (FLISR) schemes for urban grids, renewable generation, integration and microgrids for cities, protection, automation and control, regulatory issues, volt/var control, as well as open challenges and future developments. Case studies help readers understand and apply the concepts discussed.
Covering the key technologies needed for the urban energy transition, Upgrading Urban Power Grids is a valuable reference for consulting engineers, researchers and advanced students at universities and at utilities involved with electric power systems.
Metaheuristic Optimization in Power Engineering. Volume 1: Algorithms and power dispatch using MATLAB®-based software
A metaheuristic is a higher-level procedure designed to find, generate, or select a heuristic or partial search algorithm that may provide a sufficiently good solution to an optimization problem with incomplete or imperfect information or limited computation capacity. Metaheuristics can often find good solutions with less computational effort than other algorithms. Modern and emerging power systems, with the growing complexity of distributed and intermittent generation and EV charging, are an application for such methods.
The new edition of Metaheuristic Optimization in Power Engineering in two volumes uses a MATLAB-based software package for testing and comparing methods, and includes several new and substantially revised and updated chapters.
Volume 1 covers principles and key algorithms, such as genetic and swarm algorithms, gravitational and metaheuristic algorithms, power flow and power dispatch under consideration of renewable generation.
Volume 2 focuses on power distribution networks, including power flow, voltage control and regulation, optimisation of generation placement and sizing, and state estimation analysis.
This reference for researchers and advanced students working on power system analysis and optimization offers an overview of metaheuristic optimization approaches to solving problems in modern power systems.
Metaheuristic Optimization in Power Engineering. Volume 2: Distribution systems using MATLAB®-based software
A metaheuristic is a higher-level procedure designed to find, generate, or select a heuristic or partial search algorithm that may provide a sufficiently good solution to an optimization problem with incomplete or imperfect information or limited computation capacity. Metaheuristics can often find good solutions with less computational effort than other algorithms. Modern and emerging power systems, with the growing complexity of distributed and intermittent generation and EV charging, are an application for such methods.
The new edition of Metaheuristic Optimization in Power Engineering in two volumes uses a MATLAB-based software package for testing and comparing methods, and includes several new and substantially revised and updated chapters.
Volume 1 covers principles and key algorithms, such as genetic and swarm algorithms, gravitational and metaheuristic algorithms, power flow and power dispatch under consideration of renewable generation.
Volume 2 focuses on power distribution networks, including power flow, voltage control and regulation, optimisation of generation placement and sizing, and state estimation analysis.
This reference for researchers and advanced students working on power system analysis and optimization offers an overview of metaheuristic optimization approaches to solving problems in modern power systems.
Split Federated Learning for Secure IoT Applications: Concepts, frameworks, applications and case studies
New approaches in federated learning and split learning have the potential to significantly improve ubiquitous intelligence in internet of things (IoT) applications. In split federated learning, the machine learning model is divided into smaller network segments, with each segment trained independently on a server using distributed local client data.
The split learning method mitigates two fundamental drawbacks of federated learning: affordability, and privacy and security. When running machine learning computation on devices with limited resources, assigning only a portion of the network to train at the client-side minimizes the processing burden, compared to running a complete network as in federated learning. In addition, neither client nor server has full access to the other, which is more secure.
This book reviews cutting edge technologies and advanced research in split federated learning. Coverage includes approaches to realizing and evaluating the effectiveness and advantages of federated learning and split-fed learning, the role of this technology in advancing and securing IoTs, advanced research on emerging AI models for preserving the privacy of the data owned by the clients, and the analysis and development of AI mechanisms in IoT architectures and applications. The use of split federated learning in natural language processing, recommendation systems, healthcare systems, emotion detection, smart agriculture, smart transportation and smart cities is discussed.
Split Federated Learning for Secure IoT Applications: Concepts, frameworks, applications and case studies offers useful insights to the latest developments in the field for researchers, engineers and scientists in academia and industry, who are working in computing, AI, data science and cybersecurity with a focus on federated learning, machine learning and deep learning.
ESG Innovation for Sustainable Manufacturing Technology: Applications, designs and standards
In an era defined by unprecedented environmental challenges, social inequalities, and corporate responsibility, the concept of Environmental, Social, and Governance (ESG) has emerged as a transformative force. It is a set of practices used to evaluate the operational performance of a company or industry sector as it relates to social and environmental impact.
Manufacturing plays a key role in many areas of human living, and it is both part of the problem and of the solution. As manufacturing organizations grapple with the imperative to foster sustainability, ESG principles have evolved into a guiding framework. At the heart of this evolution lies technology, acting as a catalyst for ESG innovation and driving systemic change across manufacturing. This book seeks to explore the intersection of ESG and manufacturing technology.
The environmental criterion looks at whether a company pollutes or implements sustainable practices. The social criterion considers how the company works with and impacts its employees, customers, suppliers and the community as a whole. Finally, the governance criterion looks at the company's leadership, its internal controls and audits, board governance oversight and executive pay.
This ground-breaking collection will be a comprehensive educational tool, promoting awareness, guiding investment strategies, helping to manage risks, facilitating stakeholder engagement, ensuring regulatory compliance, measuring impacts, driving innovation, and promoting ethical leadership - all of which are essential for addressing pressing global challenges and building a more sustainable future.
ESG Innovation for Sustainable Manufacturing Technology: Applications, designs and standards offers insights and diverse perspectives on this cross-disciplinary topic for an audience of researchers, advanced students and professionals in sustainable manufacturing.
Exploring Intelligent Healthcare with Quantum Computing
Classical computers encode information in binary bits that can either be 0s or 1s. In a quantum computer, the basic unit of memory is a quantum bit or qubit. These qubits play a similar role in terms of storing information, but use physical systems, such as the spin of an electron or the orientation of a photon, to do so. In situations where there are a large number of possible feature combinations, quantum computers can consider them simultaneously, speeding up the data processing time.
In healthcare, where there are often large numbers of possible factors to consider, quantum computers can address them simultaneously, thereby allowing doctors to compare much, much more data, and all permutations of that data, in parallel to discover the best patterns that describe it, and therefore predict the best treatment options.
This edited book explores the field of quantum computing and machine learning for medical data processing, and is a useful resource for computer engineers, researchers, healthcare technologists and scientists specialising in quantum computing, quantum AI, data processing, deep learning, machine learning, smart healthcare, and medical data systems.
Applied Building Performance Simulation
Good building performance is contingent on complex, interacting factors. The application of performance simulation tools allows practitioners to adopt a virtual prototype and test approach in selecting design solutions that balance performance and cost.
The aim of this book is to provide guidance on approaches to the modelling and simulation of energy systems in the built environment at various scales and complexities to address the myriad challenges of the clean energy transition. The intention is to equip the reader with the understanding required to compose high integrity models, commission realistic simulations, and interpret predictions to assess life cycle performance and ensure operational resilience.
Initial chapters introduce the impressive capabilities of building energy systems simulation and the new features that are likely to be added in future. The authors then describe the sustainable energy challenge and how modelling and simulation can be used to scrutinise proposals in a cost-effectively manner. The remainder of the book then covers different technology options including electrification of heating, net zero energy housing, community energy systems, active demand management, and urban energy action planning. In each case the nature of the problem is described, the construction of a high-fidelity computer model elaborated, and principal simulation outcomes demonstrated.
Some of the problem domains addressed in the book are accompanied by a high-fidelity digital model available externally. These models are compatible with the ESP-r performance simulation program, which is freely available under an open-source licence.
Applied Building Performance Simulation provides a thorough grounding and practical guidance in the role of software simulation tools for building performance, for an audience of researchers, industry professionals, advanced students, and policy makers, regulators and standards bodies operating in the field.
6G: Evolution or Revolution?: A converged view of cellular, Wi-Fi, computing and communication
There are numerous potential paths toward achieving the 6G network and various factors that could define it. Written by three telecom industry experts, this book explores the opportunities and challenges surrounding the next generation of wireless communication technology. Will 6G build solely on the future evolution success of the 5G network, or will the delivery of 6G facilitate a revolution in technology and infrastructure with the convergence of fixed/mobile networks and collaboration with hyperscalers to help fund it?
The book presents a compelling vision of how 6G addresses the challenges that 5G faces for the broader digitalisation of society and industry. It defines new types of wireless communications and refines the smartphone and its use, revolutionising our digital landscape. While the introduction of mmWave phased arrays offers optical fibre-like bandwidths, many of the applications for this technology will not be telecoms-based. The authors also define a revolutionary 6G with new ideas for spectrum management, creating GHz of additional spectrum, convergence, privacy and core network infrastructure. They also review the evolution of 5G and Wi-Fi towards the end of the decade as a platform for 6G and the current worldwide 6G standards activities. Meanwhile, inside-out coverage could define how mobile networks are built.
6G: Evolution or Revolution? explores what the internet could be in 2030 and how it will influence 6G, particularly its intelligence layers. It covers the internet and the mobile core network and how these will change for the age of machines, with Wi-Fi and mmWave communications, AI, and the new uses of the smartphone.
This book provides an informative and thought-provoking perspective for researchers, strategists, regulators, scientists, engineers, technology professionals, and academia interested in the future of communications technology.
Latest news
- Swarm Intelligence 3 Volume Review - now available from IET Books. A new, comprehensive review on the principles of current and new swarm intelligence algorithms, inspiring new insights and applications.
Read the available information on this Swarm intelligence volume
- New Editors-in-Chief appointed for IET Computers & Digital Techniques
Find out more and read the full press release here. - To celebrate fifty years of publication, view selected papers from the last five decades for FREE. Find out more...
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