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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

image of Demystifying Graph Data Science: Graph algorithms, analytics methods, platforms, databases, and use cases
  • Demystifying Graph Data Science: Graph algorithms, analytics methods, platforms, databases, and use cases
  • With the growing maturity and stability of digitization and edge technologies, vast numbers of digital entities, connected devices, and microservices interact purposefully to create huge sets of poly-structured digital data. Corporations are continuously seeking fresh ways to use their data to drive business innovations and disruptions to bring in real digital transformation. Data science (DS) is proving to be the one-stop solution for simplifying the process of knowledge discovery and dissemination out of massive amounts of multi-structured data.

    Supported by query languages, databases, algorithms, platforms, analytics methods and machine and deep learning (ML and DL) algorithms, graphs are now emerging as a new data structure for optimally representing a variety of data and their intimate relationships.

    Compared to traditional analytics methods, the connectedness of data points in graph analytics facilitates the identification of clusters of related data points based on levels of influence, association, interaction frequency and probability. Graph analytics is being empowered through a host of path-breaking analytics techniques to explore and pinpoint beneficial relationships between different entities such as organizations, people and transactions. This edited book aims to explain the various aspects and importance of graph data science. The authors from both academia and industry cover algorithms, analytics methods, platforms and databases that are intrinsically capable of creating business value by intelligently leveraging connected data.

    This book will be a valuable reference for ICTs industry and academic researchers, scientists and engineers, and lecturers and advanced students in the fields of data analytics, data science, cloud/fog/edge architecture, internet of things, artificial intelligence/machine and deep learning, and related fields of applications. It will also be of interest to analytics professionals in industry and IT operations teams.

image of Cyber Security for Microgrids
  • Cyber Security for Microgrids
  • Microgrids use ICT to intelligently deliver energy and integrate clean generation. They can operate independently from a larger grid and can help to strengthen grid resilience. Applications include remote as well as urban areas, hospitals, and manufacturing complexes. Cybersecurity challenges arise, exposing the microgrids to cyber-attacks, possibly resulting in harm to infrastructure and to people. Research has classified attacks based on confidentiality, integrity, and availability, and most countermeasures focus on specific attacks or on protecting specific components. A global approach is needed combining solutions that can secure the entire system and respond in milliseconds.

    This reference work for researchers, in academia, industry and at grid operators as well as for students, provides an up-to-date framework for cybersecurity technologies and perspectives on operation, control, testbed and protection of microgrids from a system level perspective. Coverage includes the role of modern power electronics in active distribution networks, cyber-induced steady-state and dynamic issues, situational awareness of cyber-attacks, AI aided detection of data manipulation, cyber security threats in multi-agent microgrids, communication assisted protection, design and modeling of cyber-attacks for grid tied PV systems, stealth cyber-attacks, resilient distributed control, cyber-physical testbeds for smart grids and EV charging, and event-driven resiliency of microgrids against cyber-attacks. The book offers advanced cyber-attack detection strategies for microgrids to address breaches, counter attacks, deploy appropriate countermeasures, and stabilize microgrids under cyber-attacks.

image of Advances in Power System Modelling, Control and Stability Analysis
  • Advances in Power System Modelling, Control and Stability Analysis
  • Power systems are becoming increasingly complex as well as flexible, able to integrate distributed renewable generation, EV, and additional loads. This expanded and updated second edition covers the technologies needed to operate modern power grids.

    Initial chapters cover power system modelling, telegrapher equations, power flow analysis, discrete Fourier transformation and stochastic differential equations. Ensuing chapters deal with power system operation and control, power flow, real-time control and state estimation techniques for distribution systems as well as shipboard systems. The final chapters describe stability analysis of power systems and cover voltage stability, transient stability, time delays, and limit cycles. New content for the second edition includes four new chapters on recent modelling, control and stability analysis of power electronic converters and electric vehicles.

    This new edition is an essential guide to technologies for operating modern flexible power systems for PhD students, early-career researchers and practitioners in the field.

image of Intelligent Network Design Driven by Big Data Analytics, IoT, AI and Cloud Computing
  • Intelligent Network Design Driven by Big Data Analytics, IoT, AI and Cloud Computing
  • As enterprise access networks evolve with a larger number of mobile users, a wide range of devices and new cloud-based applications, managing user performance on an end-to-end basis has become rather challenging. Recent advances in big data network analytics combined with AI and cloud computing are being leveraged to tackle this growing problem. AI is becoming further integrated with software that manage networks, storage, and can compute.

    This edited book focuses on how new network analytics, IoTs and Cloud Computing platforms are being used to ingest, analyse and correlate a myriad of big data across the entire network stack in order to increase quality of service and quality of experience (QoS/QoE) and to improve network performance. From big data and AI analytical techniques for handling the huge amount of data generated by IoT devices, the authors cover cloud storage optimization, the design of next generation access protocols and internet architecture, fault tolerance and reliability in intelligent networks, and discuss a range of emerging applications.

    This book will be useful to researchers, scientists, engineers, professionals, advanced students and faculty members in ICTs, data science, networking, AI, machine learning and sensing. It will also be of interest to professionals in data science, AI, cloud and IoT start-up companies, as well as developers and designers.

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image of Streaming Analytics: Concepts, architectures, platforms, use cases and applications
  • Streaming Analytics: Concepts, architectures, platforms, use cases and applications
  • When digitized entities, connected devices and microservices interact purposefully, we end up with a massive amount of multi-structured streaming (real-time) data that is continuously generated by different sources at high speed. Streaming analytics allows the management, monitoring, and real-time analytics of live streaming data. The topic has grown in importance due to the emergence of online analytics and edge and IoT platforms. A real digital transformation is being achieved across industry verticals through meticulous data collection, cleansing and crunching in real time. Capturing and subjecting those value-adding events is considered to be the prime task for achieving trustworthy and timely insights.

    The authors articulate and accentuate the challenges widely associated with streaming data and analytics, describe data analytics algorithms and approaches, present edge and fog computing concepts and technologies and show how streaming analytics can be accomplished in edge device clouds. They also delineate several industry use cases across cloud system operations in transportation and cyber security and other business domains.

    The book will be of interest to ICTs industry and academic researchers, scientists and engineers as well as lecturers and advanced students in the fields of data science, cloud/fog/edge architecture, internet of things and artificial intelligence and related fields of applications. It will also be useful to cloud/edge/fog and IoT architects, analytics professionals, IT operations teams and site reliability engineers (SREs).

image of Cooling of Rotating Electrical Machines: Fundamentals, modelling, testing and design
  • Cooling of Rotating Electrical Machines: Fundamentals, modelling, testing and design
  • Thermal management is an issue with all electrical machines, including electric vehicle drives and wind turbine generators. Excessively high temperatures lead to loss of performance, degradation and deformation of components, and ultimately loss of the system.

    Cooling of Rotating Electrical Machines: Fundamentals, modelling, testing and design provides a foundation of heat transfer and ventilation for the design of machines. It offers a range of practical approaches to the thermal design, as well as design data and case studies. Chapters cover fundamentals of heat transfer, fluid flow, thermal modelling of electrical machines, computational methods for modelling ventilation and heat transfer such as finite element methods and computational fluid dynamics, thermal test methods, and application of design methods.

    Intended for engineers and researchers working in either academia or machine design companies, this book provides sound insights into the phenomena of heat transfer and fluid flow, giving readers an understanding of how to approach the thermal design of any machine.

image of Wide Area Monitoring of Interconnected Power Systems
  • Wide Area Monitoring of Interconnected Power Systems
  • Power systems are becoming increasingly complex, handling rising shares of distributed intermittent renewable generation, EV charging stations, and storage. To ensure power availability and quality, the grid needs to be monitored as a whole, by wide area monitoring (WAM), not just in small sections separately. Parameter oscillations need to be detected and acted upon. This requires sensors, data assimilation and visualization, comparison with models, modelling, and system architectures for different grid types.

    This hands-on reference for researchers in power systems, professionals at grid operators and grid equipment manufacturers, as well as for advanced students, offers a comprehensive treatment of advanced data-driven signal processing techniques for the analysis and characterization of system data and transient oscillations in power grids. Algorithms and examples help readers understand the material. Challenges involved in realistic monitoring, visualization, and analysis of actual disturbance events are emphasized.

    Chapters in this second edition cover WAM and analysis systems, WAM system architectures, modelling of power system dynamic processes, data processing and feature extraction, multi-sensor multitemporal data fusion, WAM of power systems with high penetration of distributed generation, distributed wide-area oscillation monitoring, near real-time analysis and monitoring, and interpretation and visualization of wide-area PMU measurements.

image of Advanced Time Domain Modeling for Electrical Engineering
  • Advanced Time Domain Modeling for Electrical Engineering
  • Time domain modeling is a fascinating world which brings together several complex phenomena and methods of essential interest to engineers. This book is a reference guide which discusses the most advanced time-domain modeling methods and applications in electromagnetics and electrical engineering.

    The book starts by clearly explaining why time-domain modeling may be worth doing; then, it provides guidelines about why some choices must be made among the principal modeling approaches and next guides the reader through the state of the art in time domain modeling, concerning either numerical and analytical methods, and applications. Finally, it highlights areas for future time-domain modeling research.

    The book is a collection of chapters written by leading research groups in the fields, following a logical development set out by the editor.

    Topics covered include finite element methods in time domain with applications to low-frequency problems; transient analysis of scattering from composite objects using late-time stable TDIEs; the transmission-line modeling method, partial element equivalent circuit method in time-domain; unconditionally stable time-domain methods; time-domain linear macromodeling, analytical techniques for transient analysis; the application of the finite-difference time-domain (FDTD) technique to lightning studies; modeling of lightning and its interaction with overhead conductors; transient behaviour of grounding systems; and statistics of electromagnetic reverberation chambers and their simulation through time domain modeling.

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