Grid Converters for Photovoltaic and Wind Power Systems
Grid Converters for Photovoltaic and Wind Power Systems

Author: Remus Teodorescu

Publisher: John Wiley & Sons

Published: 2011-07-28

Total Pages: 358

ISBN-13: 1119957206

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Grid converters are the key player in renewable energy integration. The high penetration of renewable energy systems is calling for new more stringent grid requirements. As a consequence, the grid converters should be able to exhibit advanced functions like: dynamic control of active and reactive power, operation within a wide range of voltage and frequency, voltage ride-through capability, reactive current injection during faults, grid services support. This book explains the topologies, modulation and control of grid converters for both photovoltaic and wind power applications. In addition to power electronics, this book focuses on the specific applications in photovoltaic wind power systems where grid condition is an essential factor. With a review of the most recent grid requirements for photovoltaic and wind power systems, the book discusses these other relevant issues: modern grid inverter topologies for photovoltaic and wind turbines islanding detection methods for photovoltaic systems synchronization techniques based on second order generalized integrators (SOGI) advanced synchronization techniques with robust operation under grid unbalance condition grid filter design and active damping techniques power control under grid fault conditions, considering both positive and negative sequences Grid Converters for Photovoltaic and Wind Power Systems is intended as a coursebook for graduated students with a background in electrical engineering and also for professionals in the evolving renewable energy industry. For people from academia interested in adopting the course, a set of slides is available for download from the website. www.wiley.com/go/grid_converters

High-Dimensional Probability
High-Dimensional Probability

Author: Roman Vershynin

Publisher: Cambridge University Press

Published: 2018-09-27

Total Pages: 299

ISBN-13: 1108415199

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An integrated package of powerful probabilistic tools and key applications in modern mathematical data science.

Theoretical Foundations and Numerical Methods for Sparse Recovery
Theoretical Foundations and Numerical Methods for Sparse Recovery

Author: Massimo Fornasier

Publisher: Walter de Gruyter

Published: 2010-07-30

Total Pages: 351

ISBN-13: 3110226154

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The present collection is the very first contribution of this type in the field of sparse recovery. Compressed sensing is one of the important facets of the broader concept presented in the book, which by now has made connections with other branches such as mathematical imaging, inverse problems, numerical analysis and simulation. The book consists of four lecture notes of courses given at the Summer School on "Theoretical Foundations and Numerical Methods for Sparse Recovery" held at the Johann Radon Institute for Computational and Applied Mathematics in Linz, Austria, in September 2009. This unique collection will be of value for a broad community and may serve as a textbook for graduate courses. From the contents: "Compressive Sensing and Structured Random Matrices" by Holger Rauhut "Numerical Methods for Sparse Recovery" by Massimo Fornasier "Sparse Recovery in Inverse Problems" by Ronny Ramlau and Gerd Teschke "An Introduction to Total Variation for Image Analysis" by Antonin Chambolle, Vicent Caselles, Daniel Cremers, Matteo Novaga and Thomas Pock

Algorithmic Aspects of Machine Learning
Algorithmic Aspects of Machine Learning

Author: Ankur Moitra

Publisher: Cambridge University Press

Published: 2018-09-27

Total Pages: 161

ISBN-13: 1107184584

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Introduces cutting-edge research on machine learning theory and practice, providing an accessible, modern algorithmic toolkit.

Greedy Approximation
Greedy Approximation

Author: Vladimir Temlyakov

Publisher: Cambridge University Press

Published: 2011-09-08

Total Pages: 433

ISBN-13: 1139502808

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This first book on greedy approximation gives a systematic presentation of the fundamental results. It also contains an introduction to two hot topics in numerical mathematics: learning theory and compressed sensing. Nonlinear approximation is becoming increasingly important, especially since two types are frequently employed in applications: adaptive methods are used in PDE solvers, while m-term approximation is used in image/signal/data processing, as well as in the design of neural networks. The fundamental question of nonlinear approximation is how to devise good constructive methods (algorithms) and recent results have established that greedy type algorithms may be the solution. The author has drawn on his own teaching experience to write a book ideally suited to graduate courses. The reader does not require a broad background to understand the material. Important open problems are included to give students and professionals alike ideas for further research.

Operating Systems
Operating Systems

Author: Andrew S. Tanenbaum

Publisher:

Published: 1997

Total Pages: 939

ISBN-13: 9780136301950

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The Second Edition of this best-selling introductory operating systems text is the only textbook that successfully balances theory and practice. The authors accomplish this important goal by first covering all the fundamental operating systems concepts such as processes, interprocess communication, input/output, virtual memory, file systems, and security. These principles are then illustrated through the use of a small, but real, UNIX-like operating system called MINIX that allows students to test their knowledge in hands-on system design projects. Each book includes a CD-ROM that contains the full MINIX source code and two simulators for running MINIX on various computers.

Lifelines
Lifelines

Author: Stephane Hallegatte

Publisher: World Bank Publications

Published: 2019-07-16

Total Pages: 316

ISBN-13: 1464814317

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Infrastructure—electricity, telecommunications, roads, water, and sanitation—are central to people’s lives. Without it, they cannot make a living, stay healthy, and maintain a good quality of life. Access to basic infrastructure is also a key driver of economic development. This report lays out a framework for understanding infrastructure resilience - the ability of infrastructure systems to function and meet users’ needs during and after a natural hazard. It focuses on four infrastructure systems that are essential to economic activity and people’s well-being: power systems, including the generation, transmission, and distribution of electricity; water and sanitation—especially water utilities; transport systems—multiple modes such as road, rail, waterway, and airports, and multiple scales, including urban transit and rural access; and telecommunications, including telephone and Internet connections.

Frontiers in Massive Data Analysis
Frontiers in Massive Data Analysis

Author: National Research Council

Publisher: National Academies Press

Published: 2013-09-03

Total Pages: 191

ISBN-13: 0309287812

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Data mining of massive data sets is transforming the way we think about crisis response, marketing, entertainment, cybersecurity and national intelligence. Collections of documents, images, videos, and networks are being thought of not merely as bit strings to be stored, indexed, and retrieved, but as potential sources of discovery and knowledge, requiring sophisticated analysis techniques that go far beyond classical indexing and keyword counting, aiming to find relational and semantic interpretations of the phenomena underlying the data. Frontiers in Massive Data Analysis examines the frontier of analyzing massive amounts of data, whether in a static database or streaming through a system. Data at that scale-terabytes and petabytes-is increasingly common in science (e.g., particle physics, remote sensing, genomics), Internet commerce, business analytics, national security, communications, and elsewhere. The tools that work to infer knowledge from data at smaller scales do not necessarily work, or work well, at such massive scale. New tools, skills, and approaches are necessary, and this report identifies many of them, plus promising research directions to explore. Frontiers in Massive Data Analysis discusses pitfalls in trying to infer knowledge from massive data, and it characterizes seven major classes of computation that are common in the analysis of massive data. Overall, this report illustrates the cross-disciplinary knowledge-from computer science, statistics, machine learning, and application disciplines-that must be brought to bear to make useful inferences from massive data.

Gossip Algorithms
Gossip Algorithms

Author: Devavrat Shah

Publisher: Now Publishers Inc

Published: 2009

Total Pages: 140

ISBN-13: 1601982364

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A systematic survey of many of these recent results on Gossip network algorithms.

Advances in Enterprise Engineering VI
Advances in Enterprise Engineering VI

Author: Antonia Albani

Publisher: Springer

Published: 2012-05-02

Total Pages: 135

ISBN-13: 3642299032

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This book constitutes the proceedings of the Second Enterprise Engineering Working Conference (EEWC), held in Delft, The Netherlands, during May 7-8, 2012. EEWC aims at addressing the challenges that modern and complex enterprises are facing in a rapidly changing world. The participants of the working conference share a belief that dealing with these challenges requires rigorous and scientific solutions, focusing on the design and engineering of enterprises. The goal of EEWC is to stimulate interaction between the different stakeholders, scientists as well as practitioners, interested in making enterprise engineering a reality. The eight papers presented were carefully reviewed and selected for inclusion in the book. EEWC 2012 had 20 submissions and accepted eight for publication. The topics of the presented papers allowed for active participation in interesting discussions and exchange of ideas and stimulated future cooperation among the participants. This made EEWC a real ‘working conference’ contributing to the further development of enterprise engineering as a mature discipline. Topics covered include: foundations of enterprise engineering; enterprise control, flexibility and governance and specifying value.