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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. Highly cited journals such as Electronics Letters are available alongside 24 research journal titles, The Journal of Engineering, the IET's new open access journal, Micro & Nano Letters, the IET's online only journal, the IET's member magazine Engineering & Technology, plus seminar digests and conference publications. Find out more...

Latest Books

image of Bifacial Photovoltaics: Technology, applications and economics
  • Bifacial Photovoltaics: Technology, applications and economics
  • Bifacial photovoltaic (PV) modules are able to utilize light from both sides and can therefore significantly increase the electric yield of PV power plants, thus reducing the cost and improving profitability. Bifacial PV technology has a huge potential to reach a major market share, in particular when considering utility scale PV plants. Accordingly, bifacial PV is currently attracting increasing attention from involved engineers, scientists and investors. There is a lack of available, structured information about this topic. A book that focuses exclusively on bifacial PV thus meets an increasing need. Bifacial Photovoltaics: Technology, applications and economics provides an overview of the history, status and future of bifacial PV technology with a focus on crystalline silicon technology, covering the areas of cells, modules, and systems. In addition, topics like energy yield simulations and bankability are addressed. It is a must-read for researchers and manufacturers involved with cutting-edge photovoltaics.

image of DC Distribution Systems and Microgrids
  • DC Distribution Systems and Microgrids
  • DC electric power distribution systems have higher efficiency, better current carrying capacity and faster response when compared to conventional AC systems. They also provide a more natural interface with many types of renewable energy sources. Furthermore, there are fewer issues with reactive power flow, power quality and frequency regulation, resulting in a notably less complex control system. All these facts lead to increased applications of DC systems in modern power systems. Still, design and operation of these systems imposes a number of specific challenges, mostly related to lack of mature protection technology and operational experience, as well as very early development stage of standards regarding DC based power infrastructure. This book provides an up-to-date overview of recent research activities in the control, protection and architectural design of a number of different types of DC distribution systems and microgrids. Practical requirements and implementation details of several types of DC distribution systems used in the real world industrial applications are also presented. Several types of coordinated control design concepts are shown, with concepts of stabilization being explained in detail. The book reviews the shortcomings and future developments concerning the practical DC system integration issues.

image of Swarm Intelligence - Volume 1: Principles, current algorithms and methods
  • Swarm Intelligence - Volume 1: Principles, current algorithms and methods
  • Swarm Intelligence (SI) is one of the most important and challenging paradigms under the umbrella of computational intelligence. It focuses on the research of collective behaviours of a swarm in nature and/or social phenomenon to solve complicated and difficult problems which cannot be handled by traditional approaches. Thousands of papers are published each year presenting new algorithms, new improvements and numerous real world applications. This makes it hard for researchers and students to share their ideas with other colleagues; follow up the works from other researchers with common interests; and to follow new developments and innovative approaches. This complete and timely collection fills this gap by presenting the latest research systematically and thoroughly to provide readers with a full view of the field of swarm. Students will learn the principles and theories of typical swarm intelligence algorithms; scholars will be inspired with promising research directions; and practitioners will find suitable methods for their applications of interest along with useful instructions. Volume 1 contains 20 chapters presenting the basic principles and current algorithms and methods of well-known swarm intelligence algorithms and efficient improvements from typical particle swarm optimization (PSO), ant colony optimization (ACO) and fireworks algorithm (FWA) as well as other swarm intelligence algorithms for swarm robotics. The companion volume 2 covers innovations, new algorithms and methods, and volume 3 covers applications of swarm intelligence algorithms. With contributions from an international selection of leading researchers, Swarm Intelligence is essential reading for engineers, researchers, professionals and practitioners with interests in swarm intelligence.

image of Swarm Intelligence -Volume 2: Innovation, new algorithms and methods
  • Swarm Intelligence -Volume 2: Innovation, new algorithms and methods
  • Swarm Intelligence (SI) is one of the most important and challenging paradigms under the umbrella of computational intelligence. It focuses on the research of collective behaviours of a swarm in nature and/or social phenomenon to solve complicated and difficult problems which cannot be handled by traditional approaches. Thousands of papers are published each year presenting new algorithms, new improvements and numerous real world applications. This makes it hard for researchers and students to share their ideas with other colleagues; follow up the works from other researchers with common interests; and to follow new developments and innovative approaches. This complete and timely collection fills this gap by presenting the latest research systematically and thoroughly to provide readers with a full view of the field of swarm. Students will learn the principles and theories of typical swarm intelligence algorithms; scholars will be inspired with promising research directions; and practitioners will find suitable methods for their applications of interest along with useful instructions. Volume 2 includes 17 chapters covering front-edge research with novel and newly proposed algorithms and methods. The companion volume 1 covers principles of swarm intelligence, current algorithms and methods; and volume 3 covers applications of swarm intelligence algorithms. With contributions from an international selection of leading researchers, Swarm Intelligence is essential reading for engineers, researchers, professionals and practitioners with interests in swarm intelligence.

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image of Swarm Intelligence - Volume 3: Applications
  • Swarm Intelligence - Volume 3: Applications
  • Swarm Intelligence (SI) is one of the most important and challenging paradigms under the umbrella of computational intelligence. It focuses on the research of collective behaviours of a swarm in nature and/or social phenomenon to solve complicated and difficult problems which cannot be handled by traditional approaches. Thousands of papers are published each year presenting new algorithms, new improvements and numerous real world applications. This makes it hard for researchers and students to share their ideas with other colleagues; follow up the works from other researchers with common interests; and to follow new developments and innovative approaches. This complete and timely collection fills this gap by presenting the latest research systematically and thoroughly to provide readers with a full view of the field of swarm. Students will learn the principles and theories of typical swarm intelligence algorithms; scholars will be inspired with promising research directions; and practitioners will find suitable methods for their applications of interest along with useful instructions. Volume 3 includes 27 chapters presenting real-world applications of swarm intelligence algorithms and related evolutionary algorithms. The companion volume 1 covers principles of swarm intelligence and volume 2 covers new algorithms and innovative methods. With contributions from an international selection of leading researchers, Swarm Intelligence is essential reading for engineers, researchers, professionals and practitioners with interests in swarm intelligence.

image of Energy Storage at Different Voltage Levels: Technology, integration, and market aspects
  • Energy Storage at Different Voltage Levels: Technology, integration, and market aspects
  • In an era of increasing contributions from intermittent renewable resources, energy storage is becoming more important to ensure a resilient and reliable electricity supply. Energy Storage at Different Voltage Levels presents the technology, integration and market aspects of energy storage in the various generation, transmission, distribution, and customer levels of the grid. Starting with a comprehensive overview of energy storage technologies and their emerging codes and standards, the book discusses energy storage capacity requirements in electricity mix scenarios at different levels; energy storage in microgrids; energy storage in electricity markets; the role of storage in transmission investment deferral and management of future planning uncertainty; sizing of battery energy storage for end user application under time of use pricing; evaluation of multiple storage benefits and optimization of energy storage operations in distribution networks; use and role of flywheel energy storage systems; forecasting and optimization for multi-purpose application of energy storage systems to deliver grid services (a case study of the smarter network storage project); and optimal coordination between generation and storage under uncertainties. Also included are country-specific case studies from Romania, Italy and Turkey.

image of Characterization of Wide Bandgap Power Semiconductor Devices
  • Characterization of Wide Bandgap Power Semiconductor Devices
  • At the heart of modern power electronics converters are power semiconductor switching devices. The emergence of wide bandgap (WBG) semiconductor devices, including silicon carbide and gallium nitride, promises power electronics converters with higher efficiency, smaller size, lighter weight, and lower cost than converters using the established siliconbased devices. However, WBG devices pose new challenges for converter design and require more careful characterization, in particular due to their fast switching speed and more stringent need for protection. Characterization of Wide Bandgap Power Semiconductor Devices presents comprehensive methods with examples for the characterization of this important class of power devices. After an introduction, the book covers pulsed static characterization; junction capacitance characterization; fundamentals of dynamic characterization; gate drive for dynamic characterization; layout design and parasitic management; protection design for double pulse test; measurement and data processing for dynamic characterization; cross-talk consideration; impact of three-phase system; and topology considerations.

image of Signal Processing and Machine Learning for Brain-Machine Interfaces
  • Signal Processing and Machine Learning for Brain-Machine Interfaces
  • Brain-machine interfacing or brain-computer interfacing (BMI/BCI) is an emerging and challenging technology used in engineering and neuroscience. The ultimate goal is to provide a pathway from the brain to the external world via mapping, assisting, augmenting or repairing human cognitive or sensory-motor functions. In this book an international panel of experts introduce signal processing and machine learning techniques for BMI/BCI and outline their practical and future applications in neuroscience, medicine, and rehabilitation, with a focus on EEG-based BMI/BCI methods and technologies. Topics covered include discriminative learning of connectivity pattern of EEG; feature extraction from EEG recordings; EEG signal processing; transfer learning algorithms in BCI; convolutional neural networks for event-related potential detection; spatial filtering techniques for improving individual template-based SSVEP detection; feature extraction and classification algorithms for image RSVP based BCI; decoding music perception and imagination using deep learning techniques; neurofeedback games using EEG-based Brain-Computer Interface Technology; affective computing system and more.

Latest news

  • Healthcare Technology Letters now publishing as Gold Open Access. All article processing charges will be waived for papers submitted in 2017.
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  • Professor Chris Toumazou, co-Editor-in-Chief of IETs prestigious Electronics Letters, has been featured in "Electronics Weekly"
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  • Editage partners with the Institution of Engineering and Technology (IET) to offer pre-submission editing and language services
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  • IET and CIE sign co-publishing agreement
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  • IET and key publishers address need to improve conference content quality. Find out more and read the full press release here
  • The new IET 2015 Publishing Catalogues are now available
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