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This expanded and updated second edition covers advanced data-driven signal processing techniques for the analysis of power system data and transient oscillations in power grids. New content includes new architectures for smart grids and microgrids, multitemporal data fusion, deep learning, multichannel phasor measurement.

In this book, the authors articulate the challenges 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.

Graph analytics are being empowered through novel analytics techniques to explore and pinpoint beneficial relationships between different entities such as organizations, people and transactions. This edited book presents the various aspects and importance of graph data science, with contributions by authors from academia and industry.

Inspired by MPEG-I and JPEG-PLENO standardization activities, this book is for readers who want to understand 3D representations and multi-camera video processing for novel immersive media applications. The authors address new challenges that arise beyond compression-only, such as depth acquisition and 3D rendering.

Radar signals are one of the most challenging signals to process, because of the extreme signal to noise ratio and the dynamic range of the signals. This book gives readers an analysis of the various tools available to help better understand radar data, including coverage of new machine learning and statistical methods.

Model predictive control (MPC) is a method for controlling a process while satisfying a set of constraints. The use of MPC for controlling power systems has been gaining traction in recent years. This work presents the use of MPC for distributed renewable power generation in microgrids.

Written by a range of researchers and practitioners in the field of IoT, data mining, and machine learning, this edited book provides a systemic review of trends, challenges and future directions of IoMT enabling technologies, such as machine learning, wireless communications, and network security.

This book explores the potential for combining recent advances from three fields - metamaterials, automated optimal design and 3D printing. The role of metamaterials in innovative device design is explored, and the development of 3D printing techniques for successfully fabricating new devices from these materials is examined.

The comprehensive reference on synchronous reluctance machines, which offer high power density at low cost and support the electrification in the transport sector. This book, written by top academic and industry experts, covers all topics required to design these machines.

A structured research overview of techniques to manage microgrids with distributed energy resources (DERs). The focus is on coordination on both temporal and spatial scales. Chapters cover mathematical models, sizing and siting of DERs, robust optimisation, distributed coordinated control, and hardware-in-the-loop tests.

Small Wind and Hydrokinetic Turbines is a valuable summary for researchers involved with small wind turbines and SHKT development and deployment, both in academia and industry, for research on powering remote areas, as well as for advanced students and manufacturers of turbines.

This book presents an overview of formulas to model transients in cable systems based on complete solutions of Maxwell's equations. It presents solutions to particularly model important high frequency phenomena. The impedance and admittance at a very low frequency for HVDC systems are investigated.

Serving as a bridge between researchers in the computing domain and computing hardware designers, this book presents ReRAM techniques for distributed computing using IMC accelerators, ReRAM-based IMC architectures for machine learning (ML) and data-intensive applications, and strategies to map ML designs onto hardware accelerators.

This comprehensive research reference summarises and presents the state-of-the-art methods for building ventilation design and control. Cutting-edge research achievements are introduced, including fast ventilation predictions, online monitoring and intelligent control, coupled simulation of urban simulation, and CFD-based adjoint design.

A systematic overview of the state of Compressed Air Energy Storage (CAES) technology, covering the key components and principal types of systems in the order of technical maturity: diabatic, adiabatic, and isothermal. Existing major systems and prototypes and economics are also addressed.

The energy efficiency paradigm is a major bottleneck for the development of wireless sensor networks (WSNs) and Internet of Things (IoT) architectures and technologies. This edited book presents comprehensive coverage of energy harvesting sources and techniques that can be used for WSN and IoT systems.

This comprehensive edited 2-volume handbook provides a unique platform for researchers, engineers, developers, educators and advanced students in the field of Big Data analytics. The first volume presents methodologies that support Big Data analytics, while the second volume offers a wide range of Big Data analytics applications.

This comprehensive edited 2-volume handbook provides a unique platform for researchers, engineers, developers, educators and advanced students in the field of Big Data analytics. The first volume presents methodologies that support Big Data analytics, while the second volume offers a wide range of Big Data analytics applications.

Offering systematic analysis of the movements and behaviours of bicycles and their riders, this book examines data collection and evaluation approaches and then goes on to develop a framework for the theory and modelling of bike traffic. Coverage includes verification techniques, and a chapter on riding characteristics for context.