Artificial intelligence-based smart power systems (2023)

Public ISBD Titre : Artificial intelligence-based smart power systems Type de document : texte imprimé Auteurs : Sanjeevikumar Padmanaban, Éditeur scientifique ; Sivaraman Palanisamy, Éditeur scientifique ; Sharmeela Chenniappan, Éditeur scientifique ; Jens Bo Holm-Nielsen, Éditeur scientifique Editeur : Piscataway, NJ : IEEE Press Année de publication : 2023 Autre Editeur : Hoboken, NJ : Wiley Importance : XXII, 378 p. Présentation : ill. Format : 26 cm ISBN/ISSN/EAN : 978-1-119-89396-7 Note générale : Ref. Bibliogr. en fin de chapitres. - Index Langues : Anglais (eng) Mots-clés : Smart power grids Artificial intelligence Réseaux électriques intelligents Intelligence artificielle Index. décimale : 004.89 Systèmes d'application d'intelligence artificielle. Systèmes basés sur la connaissance intelligente. Résumé : Authoritative resource describing artificial intelligence and advanced technologies in smart power systems with simulation examples and case studies Artificial Intelligence-based Smart Power Systems presents advanced technologies used in various aspects of smart power systems, especially grid-connected and industrial evolution. It covers many new topics such as distribution phasor measurement units, blockchain technologies for smart power systems, the application of deep learning and reinforced learning, and artificial intelligence techniques. The text also explores the potential consequences of artificial intelligence and advanced technologies in smart power systems in the forthcoming years. To enhance and reinforce learning, the editors include many learning resources throughout the text, including MATLAB, practical examples, and case studies. Note de contenu : Summary : 1. Introduction to Smart Power Systems 2. Modeling and Analysis of Smart Power System 3. Multilevel Cascaded Boost Converter Fed Multilevel Inverter for Renewable Energy Applications 4. Recent Advancements in Power Electronics for Modern Power Systems-Comprehensive Review on DC-Link Capacitors Concerning Power Density Maximization in Power Converters 5. Energy Storage Systems for Smart Power Systems 6. Real-Time Implementation and Performance Analysis of Supercapacitor for Energy Storage 7. Adaptive Fuzzy Logic Controller for MPPT Control in PMSG Wind Turbine Generator 8. A Novel Nearest Neighbor Searching-Based Fault Distance Location Method for HVDC Transmission Lines 9. Comparative Analysis of Machine Learning Approaches in Enhancing Power System Stability 10. Augmentation of PV-Wind Hybrid Technology with Adroit Neural Network, ANFIS, and PI Controllers Indeed Precocious DVR System 11. Deep Reinforcement Learning and Energy Price Prediction 12. Power Quality Conditioners in Smart Power System 13. The Role of Internet of Things in Smart Homes 14. Electric Vehicles and IoT in Smart Cities 15. Modeling and Simulation of Smart Power Systems Using HIL 16. Distribution Phasor Measurement Units (PMUs) in Smart Power Systems 17. Blockchain Technologies for Smart Power Systems 18. Power and Energy Management in Smart Power Systems Artificial intelligence-based smart power systems [texte imprimé] / Sanjeevikumar Padmanaban, Éditeur scientifique ; Sivaraman Palanisamy, Éditeur scientifique ; Sharmeela Chenniappan, Éditeur scientifique ; Jens Bo Holm-Nielsen, Éditeur scientifique . - Piscataway, NJ : IEEE Press : Hoboken, NJ : Wiley, 2023 . - XXII, 378 p. : ill. ; 26 cm. ISBN : 978-1-119-89396-7 Ref. Bibliogr. en fin de chapitres. - Index Langues : Anglais (eng) Mots-clés : Smart power grids Artificial intelligence Réseaux électriques intelligents Intelligence artificielle Index. décimale : 004.89 Systèmes d'application d'intelligence artificielle. Systèmes basés sur la connaissance intelligente. Résumé : Authoritative resource describing artificial intelligence and advanced technologies in smart power systems with simulation examples and case studies Artificial Intelligence-based Smart Power Systems presents advanced technologies used in various aspects of smart power systems, especially grid-connected and industrial evolution. It covers many new topics such as distribution phasor measurement units, blockchain technologies for smart power systems, the application of deep learning and reinforced learning, and artificial intelligence techniques. The text also explores the potential consequences of artificial intelligence and advanced technologies in smart power systems in the forthcoming years. To enhance and reinforce learning, the editors include many learning resources throughout the text, including MATLAB, practical examples, and case studies. Note de contenu : Summary : 1. Introduction to Smart Power Systems 2. Modeling and Analysis of Smart Power System 3. Multilevel Cascaded Boost Converter Fed Multilevel Inverter for Renewable Energy Applications 4. Recent Advancements in Power Electronics for Modern Power Systems-Comprehensive Review on DC-Link Capacitors Concerning Power Density Maximization in Power Converters 5. Energy Storage Systems for Smart Power Systems 6. Real-Time Implementation and Performance Analysis of Supercapacitor for Energy Storage 7. Adaptive Fuzzy Logic Controller for MPPT Control in PMSG Wind Turbine Generator 8. A Novel Nearest Neighbor Searching-Based Fault Distance Location Method for HVDC Transmission Lines 9. Comparative Analysis of Machine Learning Approaches in Enhancing Power System Stability 10. Augmentation of PV-Wind Hybrid Technology with Adroit Neural Network, ANFIS, and PI Controllers Indeed Precocious DVR System 11. Deep Reinforcement Learning and Energy Price Prediction 12. Power Quality Conditioners in Smart Power System 13. The Role of Internet of Things in Smart Homes 14. Electric Vehicles and IoT in Smart Cities 15. Modeling and Simulation of Smart Power Systems Using HIL 16. Distribution Phasor Measurement Units (PMUs) in Smart Power Systems 17. Blockchain Technologies for Smart Power Systems 18. Power and Energy Management in Smart Power Systems

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Computer models of process dynamics / Olis Rubin (2023)

Public ISBD Titre : Computer models of process dynamics : from Newton to energy fields Type de document : texte imprimé Auteurs : Olis Rubin, Auteur Editeur : Hoboken, NJ : Wiley Année de publication : 2023 Autre Editeur : Piscataway, NJ : IEEE Press Importance : XIV, 302 p. Présentation : ill. Format : 24 cm ISBN/ISSN/EAN : 978-1-119-88565-8 Note générale : Références bibliogr. - Index Langues : Anglais (eng) Mots-clés : Physics -- Data processing Engineering -- Data processing Economics -- Data processing Computer simulation Physique -- Informatique Ingénierie -- Informatique Économie politique -- Informatique Simulation par ordinateur Index. décimale : 004.94 Simulation par ordinateur Résumé : Computer Models of Process Dynamics covers everything required to do computer based mathematical modeling of dynamic systems, including an introduction to a scientific language, its use to program essential operations, and methods to approximate the integration of continuous signals. From a practical standpoint, readers will learn how to build computer models that simulate differential equations. They are also shown how to model physical objects of increasing complexity, where the most complex objects are simulated by finite element models, and how to follow a formal procedure in order to build a valid computer model. To aid in reader comprehension, a series of case studies is presented that covers myriad different topics to provide a view of the challenges that fall within this discipline. The book concludes with a discussion of how computer models are used in an engineering project where the readers would operate in a team environment. Note de contenu : Summary : 1. Introduction 2. From Computer Hardware to Software 3. Creative thinking and scientific theories 4. Calculus and the computer 5. Science and computer models 6. Flight simulators 7. Finite element models and the diffusion of heat 8. Wave equations 9. Uncertainty and softer science 10. Computer models in a development project 11. Postscript Computer models of process dynamics : from Newton to energy fields [texte imprimé] / Olis Rubin, Auteur . - Hoboken, NJ : Wiley : Piscataway, NJ : IEEE Press, 2023 . - XIV, 302 p. : ill. ; 24 cm. ISBN : 978-1-119-88565-8 Références bibliogr. - Index Langues : Anglais (eng) Mots-clés : Physics -- Data processing Engineering -- Data processing Economics -- Data processing Computer simulation Physique -- Informatique Ingénierie -- Informatique Économie politique -- Informatique Simulation par ordinateur Index. décimale : 004.94 Simulation par ordinateur Résumé : Computer Models of Process Dynamics covers everything required to do computer based mathematical modeling of dynamic systems, including an introduction to a scientific language, its use to program essential operations, and methods to approximate the integration of continuous signals. From a practical standpoint, readers will learn how to build computer models that simulate differential equations. They are also shown how to model physical objects of increasing complexity, where the most complex objects are simulated by finite element models, and how to follow a formal procedure in order to build a valid computer model. To aid in reader comprehension, a series of case studies is presented that covers myriad different topics to provide a view of the challenges that fall within this discipline. The book concludes with a discussion of how computer models are used in an engineering project where the readers would operate in a team environment. Note de contenu : Summary : 1. Introduction 2. From Computer Hardware to Software 3. Creative thinking and scientific theories 4. Calculus and the computer 5. Science and computer models 6. Flight simulators 7. Finite element models and the diffusion of heat 8. Wave equations 9. Uncertainty and softer science 10. Computer models in a development project 11. Postscript

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Convergence (2022)

Public ISBD Titre : Convergence : artificial intelligence and quantum computing Type de document : texte imprimé Auteurs : Greg Viggiano, Éditeur scientifique ; David Brin (1950-....), Préfacier, etc. Editeur : Hoboken, NJ : Wiley Année de publication : 2022 Importance : XLVIII, 272 p. Présentation : ill. Format : 23 cm ISBN/ISSN/EAN : 978-1-394-17410-2 Note générale : La couverture indique en plus "Social, economic, and policy impacts". - Notes bibliogr. p. 251-258. - Index Langues : Anglais (eng) Mots-clés : Artificial intelligence -- Social aspects Quantum computing -- Social aspects Artificial intelligence -- Economic aspects Quantum computing -- Economic aspects Intelligence artificielle -- Aspect social Informatique quantique -- Aspect social Intelligence artificielle -- Aspect économique Informatique quantique -- Aspect économique Index. décimale : 004.8 Intelligence artificielle Résumé : "Prepare for the coming convergence of AI and quantum computing. A collection of essays from 20 renowned, international authors working in industry, academia, and government, Convergence: Artificial Intelligence and Quantum Computing explains the impending convergence of artificial intelligence and quantum computing. A diversity of viewpoints is presented, each offering their view of this coming watershed event. In the book, you'll discover that we're on the cusp of seeing the stuff of science fiction become reality, with huge implications for ripping up the existing social fabric, global economy, and current geopolitical order. Along with an incisive foreword by Hugo- and Nebula-award winning author David Brin, you'll also find: Explorations of the increasing pace of technological development; Explanations of why seemingly unusual and surprising breakthroughs might be just around the corner; Maps to navigate the potential minefields that await us as AI and quantum computing come together A fascinating and thought-provoking compilation of insights from some of the leading technological voices in the world, Convergence convincingly argues that we should prepare for a world in which very little will remain the same and shows us how to get ready."-- Provided by publisher. Note de contenu : Summary : Part I. Policy and Regulatory Impacts Part II. Economic Impacts Part III. Social Impacts Convergence : artificial intelligence and quantum computing [texte imprimé] / Greg Viggiano, Éditeur scientifique ; David Brin (1950-....), Préfacier, etc. . - Hoboken, NJ : Wiley, 2022 . - XLVIII, 272 p. : ill. ; 23 cm. ISBN : 978-1-394-17410-2 La couverture indique en plus "Social, economic, and policy impacts". - Notes bibliogr. p. 251-258. - Index Langues : Anglais (eng) Mots-clés : Artificial intelligence -- Social aspects Quantum computing -- Social aspects Artificial intelligence -- Economic aspects Quantum computing -- Economic aspects Intelligence artificielle -- Aspect social Informatique quantique -- Aspect social Intelligence artificielle -- Aspect économique Informatique quantique -- Aspect économique Index. décimale : 004.8 Intelligence artificielle Résumé : "Prepare for the coming convergence of AI and quantum computing. A collection of essays from 20 renowned, international authors working in industry, academia, and government, Convergence: Artificial Intelligence and Quantum Computing explains the impending convergence of artificial intelligence and quantum computing. A diversity of viewpoints is presented, each offering their view of this coming watershed event. In the book, you'll discover that we're on the cusp of seeing the stuff of science fiction become reality, with huge implications for ripping up the existing social fabric, global economy, and current geopolitical order. Along with an incisive foreword by Hugo- and Nebula-award winning author David Brin, you'll also find: Explorations of the increasing pace of technological development; Explanations of why seemingly unusual and surprising breakthroughs might be just around the corner; Maps to navigate the potential minefields that await us as AI and quantum computing come together A fascinating and thought-provoking compilation of insights from some of the leading technological voices in the world, Convergence convincingly argues that we should prepare for a world in which very little will remain the same and shows us how to get ready."-- Provided by publisher. Note de contenu : Summary : Part I. Policy and Regulatory Impacts Part II. Economic Impacts Part III. Social Impacts

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Learning to program with MATLAB / Craig S. Lent (2022)

Public ISBD Titre : Learning to program with MATLAB : building GUI tools Type de document : texte imprimé Auteurs : Craig S. Lent (1956-....), Auteur Editeur : Hoboken, NJ : Wiley Année de publication : 2022 Importance : XVII, 265 p. Présentation : ill. Format : 26 cm ISBN/ISSN/EAN : 978-1-119-90047-4 Note générale : Index Langues : Anglais (eng) Mots-clés : MATLAB Computer programming Visual programming (Computer science) Graphical user interfaces (Computer systems) MATLAB (logiciel) Programmation (Informatique) Programmation visuelle Interfaces graphiques (Informatique) Index. décimale : 004.43 Langage de programmation Résumé : "The book serves as a compact introduction to computer programming using the MATLAB language. The integrated development environment and interpreted nature of the language makes it a good choice for a first language. The suite of graphics commands, mathematical functions, and domain-specific toolboxes, also make MATLAB a popular choice for research and commercial use. The key feature of this book is the early and scaffolded introduction to making programs with a modern graphical user interface (GUI). Students can create programs that are like all the computer programs they are accustomed to interacting with: operated by pressing buttons, selecting options from pull-down menus, filling in values in boxes, adjusting values by moving sliders, and visualizing results with meaningful and responsive graphics. The reader is given a step-by-step guide to the process of turning a MATLAB program into a GUI Tool, which can then be iteratively enhanced and refined. This involves elements both of program design and user-interface design. The approach is geared toward creating computational models whose behavior can be explored through a graphical user interface?a GUI Tool. The computational models are based on the relevant mathematics and science. One great value of a GUI tool is to let the user easily explore the model?s behavior, while in a sense hiding? the details of the computation. By smoothly and easily examining many ?what-if? scenarios, the user gains the insight that is so often the goal of building the model. For researchers and professionals, the ability to quickly make and package GUI Tools that capture the behavior of a model in a particular problem domain can be very helpful. Beyond exploring the model for oneself, which is invaluable, the GUI Tool can be operated by those who are less familiar with the mathematical and computational details. MATLAB GUI Tools benefit from the wide array of mathematical and graphical libraries available. The book contains descriptions and examples of some of those functions that we have found most useful, particularly in engineering and science applications"-- Note de contenu : Summary : Part I: MATLAB Programming 1. Getting Started 2. Vectors and Strings 3. Plotting 4. Matrices 5. Control Flow Commands 6. Animation 7. Writing Your Own MATLAB Functions 8. More MATLAB Data Classes and Structures Part II: Building Gui Tools 9. Building GUI Tools with App Designer 10. More GUI Techniques Part III: Advanced Topics 11. More Graphics 12. More Mathematics 13. Reading and Writing Files Learning to program with MATLAB : building GUI tools [texte imprimé] / Craig S. Lent (1956-....), Auteur . - Hoboken, NJ : Wiley, 2022 . - XVII, 265 p. : ill. ; 26 cm. ISBN : 978-1-119-90047-4 Index Langues : Anglais (eng) Mots-clés : MATLAB Computer programming Visual programming (Computer science) Graphical user interfaces (Computer systems) MATLAB (logiciel) Programmation (Informatique) Programmation visuelle Interfaces graphiques (Informatique) Index. décimale : 004.43 Langage de programmation Résumé : "The book serves as a compact introduction to computer programming using the MATLAB language. The integrated development environment and interpreted nature of the language makes it a good choice for a first language. The suite of graphics commands, mathematical functions, and domain-specific toolboxes, also make MATLAB a popular choice for research and commercial use. The key feature of this book is the early and scaffolded introduction to making programs with a modern graphical user interface (GUI). Students can create programs that are like all the computer programs they are accustomed to interacting with: operated by pressing buttons, selecting options from pull-down menus, filling in values in boxes, adjusting values by moving sliders, and visualizing results with meaningful and responsive graphics. The reader is given a step-by-step guide to the process of turning a MATLAB program into a GUI Tool, which can then be iteratively enhanced and refined. This involves elements both of program design and user-interface design. The approach is geared toward creating computational models whose behavior can be explored through a graphical user interface?a GUI Tool. The computational models are based on the relevant mathematics and science. One great value of a GUI tool is to let the user easily explore the model?s behavior, while in a sense hiding? the details of the computation. By smoothly and easily examining many ?what-if? scenarios, the user gains the insight that is so often the goal of building the model. For researchers and professionals, the ability to quickly make and package GUI Tools that capture the behavior of a model in a particular problem domain can be very helpful. Beyond exploring the model for oneself, which is invaluable, the GUI Tool can be operated by those who are less familiar with the mathematical and computational details. MATLAB GUI Tools benefit from the wide array of mathematical and graphical libraries available. The book contains descriptions and examples of some of those functions that we have found most useful, particularly in engineering and science applications"-- Note de contenu : Summary : Part I: MATLAB Programming 1. Getting Started 2. Vectors and Strings 3. Plotting 4. Matrices 5. Control Flow Commands 6. Animation 7. Writing Your Own MATLAB Functions 8. More MATLAB Data Classes and Structures Part II: Building Gui Tools 9. Building GUI Tools with App Designer 10. More GUI Techniques Part III: Advanced Topics 11. More Graphics 12. More Mathematics 13. Reading and Writing Files

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Risk centric threat modeling / Tony Uceda Vélez (2015)

Public ISBD Titre : Risk centric threat modeling : process for attack simulation and threat analysis Type de document : texte imprimé Auteurs : Tony Uceda Vélez, Auteur ; Marco M. Morana, Auteur Editeur : Hoboken, NJ : Wiley Année de publication : 2015 Importance : XXV, 664 p. Présentation : ill. Format : 24 cm ISBN/ISSN/EAN : 978-0-470-50096-5 Note générale : Ref. Bibliogr. - Index Langues : Anglais (eng) Mots-clés : Data protection Computer security Management information systems -- Security measures Computer networks -- Security measures Risk assessment Protection de l'information (Informatique) Sécurité informatique Systèmes d'information de gestion -- Sécurité -- Mesures Réseaux d'ordinateurs -- Sécurité -- Mesures Évaluation du risque Index. décimale : 004.056 Sécurité Résumé : This book introduces the Process for Attack Simulation & Threat Analysis (PASTA) threat modeling methodology. It provides an introduction to various types of application threat modeling and introduces a risk-centric methodology aimed at applying security countermeasures that are commensurate to the possible impact that could be sustained from defined threat models, vulnerabilities, weaknesses, and attack patterns. This book describes how to apply application threat modeling as an advanced preventive form of security. The authors discuss the methodologies, tools, and case studies of successful application threat modeling techniques. Chapter 1 provides an overview of threat modeling, while Chapter 2 describes the objectives and benefits of threat modeling. Chapter 3 focuses on existing threat modeling approaches, and Chapter 4 discusses integrating threat modeling within the different types of Software Development Lifecycles (SDLCs). Threat mode... Note de contenu : Summary : 1. Threat Modeling Overview 2. Objectives and Benefits of Threat Modeling 3. Existing Threat Modeling Approaches 4. Threat Modeling Within the SDLC 5. Threat Modeling and Risk Management 6. Intro to PASTA 7. Diving Deeper into PASTA 8. PASTA Use Case Risk centric threat modeling : process for attack simulation and threat analysis [texte imprimé] / Tony Uceda Vélez, Auteur ; Marco M. Morana, Auteur . - Hoboken, NJ : Wiley, 2015 . - XXV, 664 p. : ill. ; 24 cm. ISBN : 978-0-470-50096-5 Ref. Bibliogr. - Index Langues : Anglais (eng) Mots-clés : Data protection Computer security Management information systems -- Security measures Computer networks -- Security measures Risk assessment Protection de l'information (Informatique) Sécurité informatique Systèmes d'information de gestion -- Sécurité -- Mesures Réseaux d'ordinateurs -- Sécurité -- Mesures Évaluation du risque Index. décimale : 004.056 Sécurité Résumé : This book introduces the Process for Attack Simulation & Threat Analysis (PASTA) threat modeling methodology. It provides an introduction to various types of application threat modeling and introduces a risk-centric methodology aimed at applying security countermeasures that are commensurate to the possible impact that could be sustained from defined threat models, vulnerabilities, weaknesses, and attack patterns. This book describes how to apply application threat modeling as an advanced preventive form of security. The authors discuss the methodologies, tools, and case studies of successful application threat modeling techniques. Chapter 1 provides an overview of threat modeling, while Chapter 2 describes the objectives and benefits of threat modeling. Chapter 3 focuses on existing threat modeling approaches, and Chapter 4 discusses integrating threat modeling within the different types of Software Development Lifecycles (SDLCs). Threat mode... Note de contenu : Summary : 1. Threat Modeling Overview 2. Objectives and Benefits of Threat Modeling 3. Existing Threat Modeling Approaches 4. Threat Modeling Within the SDLC 5. Threat Modeling and Risk Management 6. Intro to PASTA 7. Diving Deeper into PASTA 8. PASTA Use Case

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