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Gesamtkatalog

Catalogue complet

Renewable-to-Vehicle Smart Charging

Planning, Modeling, and Load Forecasting for Grid Integration

IEEE Press Series on Power and Energy Systems

Everything we know about the power system, whether for control, or planning, or billing, is the result of a measurement, so the measurements ought to be good. The authors of Measuring the Grid: Mysteries Explained pull no punches in showing how bad today's measurements are, and how to make them better. Misunderstandings about important power system quantities, especially reactive power, apparent power, and phasors, are pervasive. The first four chapters provide foundational information about measurement generally not taught to power engineers. Although power engineers expect their measurements to be "scientific", these chapters explain why some of the most critical power system measurements are distinctly non-scientific and not fit for purpose. In the next four chapters, the most important and most misunderstood measurements are scrutinized more closely. Particular attention is paid to reactive power and to the phasor measurement unit. Although the book discusses serious issues, a little light humor makes for easy reading. Additional topics discussed include: <ul> <li>Two fundamentally different kinds of measurement exist; most of the measurements in the power system are of the non-scientific variety</li> <li>Power theories, such as those of Budeanu and Fryze, are shown to be inevitably wrong; measurement theory resolves the mysteries</li> <li>The number of degrees of freedom of a system is an incisive tool for resolving key questions about the nature of measurements</li> <li>Opportunities for further research</li> <li>An introduction to the important topic of measurement uncertainty</li> </ul> Measuring the Grid: Mysteries Explained fills a significant knowledge gap for all students in programs of study related to power systems. It is also valuable for practicing engineers working in the manufacturing and utility industries.

Mysteries Explained

Measuring the Electric Grid

Series in Optics and Optoelectronics

Advanced Optical Techniques in Biosciences

Power Electronics and Applications Series

An Introduction

Electric Energy

Advances in Sustainable Microgrid Technologies

Components, Control Algorithms, and Design

Next-Generation Microgrids

Audio Engineering Society Presents

Audio effects are used pervasively in music performance and production, and creation of new digital audio tools is a significant industry. They are also commonly used in game production, broadcasting, and film and television.This book is intended as an educational textbook on audio effects, with relevance to audio signal processing, music informatics, sound engineering and related topics.It provides fundamental background information on digital signal processing, focusing on audio-specific aspects. This constitutes the building block on which audio effects are developed. It integrates theory and practice, relating technical implementation to musical implications.<ul> <li>The book can be used to gain an understanding of the operation of existing audio effects, or to create new ones.</li> <li>Includes detailed coverage of common audio effects (and plenty of unusual ones) ]</li> <li>Includes discussion of current digital audio standards, such as VST. Accompanying source code is provided in C/C++, for audio plugin development using JUCE.</li> <li>Each section of the book also has examples, exercises, sound samples, lecture slides, and additional information on related topics.</li> </ul>This second edition includes revised and expanded chapters, with new content on equalization, distortion, phase vocoders and reverberation. It also has new chapters on immersive audio and on advanced concepts in audio programming, revised source code using the latest version of JUCE, and corrections and improvements throughout.

Theory, Implementation and Application

Audio Effects

Key insights and practical guidance on transitioning to clean energy while meeting increasing energy demands, covering AI developments and more Prognostics and Health Management in Energy and Power Systems explores two highly topical subjects, energy transition and the latest advances in Artificial Intelligence, and provides insights and practical guidance for a smooth transition to clean, low-carbon energy while simultaneously continuing to meet the ever-increasing demand for energy. The first part of this book is completely devoted to the challenges, trends, and Asset Management requirements for the energy transition and explains why the energy system of the future must be resilient, autonomous, anticipatory, and situation-aware. The second part of the book presents key developments in recent years and shows the gradual shift from a collection of monolithic architectures for narrow, singular tasks to a set of modular, reconfigurable architectures capable of handling different types of tasks. An industrial case study is illustrated in the third part of the book, showing that Large-Scale Foundation models represent a promising technique to support the Prognostics and Health Management of the energy system. Prognostics and Health Management in Energy and Power Systems includes information on: <ul> <li>Key differences between reliability and resilience, covering Low-Impact, High-Probability events and High-Impact, Low-Frequency events</li> <li>Important factors in the operation of current and future power plants and substations, including software, complexity, human error, data, and maintenance</li> <li>Modularity, reliability, and explainability of Large-Scale Foundation models</li> <li>Transformer-based Deep Neural Networks, covering Attention Mechanisms, Positional Encoding, and input-output data embedding</li> <li>Graph-based approaches to prognostics of complex machinery with sparse Run-to-Failure data, covering diagnostics feature extraction and graph dataset generation</li> </ul> Prognostics and Health Management in Energy and Power Systems is an essential forward-thinking reference for engineers and researchers working in the energy sector with an interest in AI techniques and Machine Learning.

Integrating Situation Awareness into Large-Scale Foundation Models

Prognostics and Health Management in Energy and Power Systems

Enhancing the Control of Systems and Devices: Improving Performance, Reliability and Adaptability in Dynamic Environments provides an in-depth exploration of the application of sophisticated control design strategies to enhance the control of systems and devices in terms of performance, reliability, and adaptability in dynamic environments. A sophisticated control design strategy refers to the use of advanced and intricate control techniques to achieve specific objectives in complex systems.

Improving Performance, Reliability and Adaptability in Dynamic Environments

Enhancing the Control of Systems and Devices

Tiny Machine Learning Techniques for Constrained Devices

Aviation Electrification: Design, Technologies, and Energy Source Integration for Electronic Power Systems presents the latest developments in the emerging area of electric-powered aircraft. This book moves from the essential considerations for electric aircraft design to cutting-edge applications and case studies. A holistic approach covers generation, distribution, and control, as well as challenges for energy management, storage, and EMC/EMI. Collecting some of the best-known names in the field, Aviation Electrification: Design, Technologies, and Energy Source Integration for Electronic Power Systems will bring students, researchers, and engineers up to date on the electric aircraft technology and the next great challenges in achieving sustainable air transport.

Design, Technologies, and Energy Source Integration for Electronic Power Systems

Aviation Electrification

Computational Methods for Electric Power Systems

Flexible DC Traction Power Supply Systems in Urban Rail Transit: Design, Operation and Control is an essential guide on the cutting-edge of the field that clarifies the current standard for power converters, traction control, and energy systems for rail transport before introducing basic concepts, configurations, and opportunities for flexible DC traction power supply systems. Other sections provide a detailed guide to operating principles and core functions in comparison to traditional diode rectifier-based traction power supply systems. This is a critical resource for energy and electrical engineers, researchers, and students developing the sustainable infrastructure of the future. Key techniques are analyzed with attentive reference to rail application context and appropriate case studies. The book closes with two full chapters of novel case studies from China that support practical application and further development by readers. Working from foundational principles to real-world applications.

Design, Operation and Control

Flexible DC Traction Power Supply System in Urban Rail Transit

A Microgrid Cluster Management and Internet-of-Things Framework: Fundamentals, Protocols, and Case Studies presents a cutting-edge guide on leveraging IoT technologies to optimize renewable energy integration through microgrid clusters. The book begins by detailing the fundamental aspects of microgrid clusters, encompassing design, control, and optimization. This comprehensive grounding prepares readers for the exploration of IoT integration to harness big data analytics for energy efficiency, power management, fault monitoring, and cybersecurity. The book further delves into the meticulous analysis of protocol selection for effective operation and control. It covers wired protocols such as Modbus, Profibus, and Ethernet, wireless protocols like Zigbee, Wi-Fi, and Bluetooth, and IoT protocols including CoAP, MQTT, and HTTP. By outlining an adaptable framework for interdisciplinary opportunities, this book guides researchers and engineers in creating the flexible, renewable grid of the future.

Fundamentals, Protocols, and Case Studies

A Microgrid Cluster Management and Internet-of-Things Framework

Renewable-to-Vehicle Smart Charging

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