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  • Safari, an O'Reilly Media Company.  (5)
  • Brooks, Richard
  • [Erscheinungsort nicht ermittelbar] : CRC Press  (4)
  • [Erscheinungsort nicht ermittelbar] : Chapman and Hall/CRC  (1)
  • [Erscheinungsort nicht ermittelbar] : Auerbach Publications
  • Ingénierie ; Informatique  (2)
  • Énergies renouvelables  (2)
  • Analyse dimensionnelle  (1)
Datasource
Material
Language
Years
Author, Corporation
Publisher
  • [Erscheinungsort nicht ermittelbar] : CRC Press  (4)
  • [Erscheinungsort nicht ermittelbar] : Chapman and Hall/CRC  (1)
  • [Erscheinungsort nicht ermittelbar] : Auerbach Publications
  • Boston, MA : Safari  (5)
Keywords
  • 1
    Online Resource
    Online Resource
    Greener Energy Systems (2018)
    [Erscheinungsort nicht ermittelbar] : CRC Press | Boston, MA : Safari
    Details
    ISBN: 9781439899052
    Language: English
    Pages: 1 online resource (240 pages)
    Edition: 1st edition
    Keywords: Electric power systems Environmental aspects ; Electric power production Environmental aspects ; Renewable energy sources ; Sustainable engineering ; Electronic books ; local ; Réseaux électriques (Énergie) ; Aspect de l'environnement ; Électricité ; Production ; Aspect de l'environnement ; Énergies renouvelables ; Ingénierie durable ; Electric power production ; Environmental aspects ; Electric power systems ; Environmental aspects ; Renewable energy sources ; Sustainable engineering
    Abstract: Recent years have seen acceleration in the development of cleaner energy systems. In Europe and North America, many old coal-fired power plants will be shut down in the next few years and will likely be replaced by combined cycle plants with higher-efficiency gas turbines that can start up and load quickly. With the revival of nuclear energy, designers are creating smaller nuclear reactors of a simpler integrated design that could expand the application of clean, emission-free energy to industry. And a number of manufacturers now offer hybrid cars with an electric motor and a gasoline engine to charge the batteries on the move. This would seem to be the way forward in reducing transport emissions, until countries develop stronger electricity supply systems to cope with millions of electric cars being charged daily. Greener Energy Systems: Energy Production Technologies with Minimum Environmental Impact tackles the question of how to generate enough electricity, efficiently and with minimum environmental impact, to meet future energy needs across the world. Supplemented with extensive figures and color photographs, this book: Traces the development of electricity supply Explains energy production risks and how major accidents have influenced development Discusses the combined cycle, the preferred system for power capacity expansion in much of the world Looks at combined heat and power Addresses whether coal can continue to be a fuel for power generation Examines nuclear power generation Asks why shipping has not followed some of the world's navies into nuclear propulsion Considers how to electrify more transport systems Reviews the current state of renewable systems, particularly hydro and solar The book defines the key elements of greener energy systems, noting that they must be highly efficient, with rapid start up and loading; produce minimum emissions; and use simpler technology. The author has more than forty years of experience as an international journalist reporting on power-generation technologies and energy policies around the world. He concludes that there is no place for coal and that combined cycle, hydro, solar, and biomass must complement nuclear energy, which must serve more applications than just generating electricity.
    Note: Online resource; Title from title page (viewed September 3, 2018) , Mode of access: World Wide Web.
    URL: lizenzpflichtig
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    Online Resource
    MPI Ethno. Forsch.
  • 2
    Online Resource
    Online Resource
    Smart and Sustainable Power Systems (2015)
    [Erscheinungsort nicht ermittelbar] : CRC Press | Boston, MA : Safari
    Details
    ISBN: 9781351830164 , 1351830163
    Language: English
    Pages: 1 online resource (439 pages)
    Edition: 1st edition
    Parallel Title: Erscheint auch als
    Keywords: Smart power grids ; Island networks (Electricity) ; Islands Economic conditions ; Renewable energy sources ; Sustainable development ; Renewable Energy ; Electronic books ; local ; Islands ; Economic aspects ; Réseaux électriques intelligents ; Réseaux îlotés ; Îles ; Conditions économiques ; Énergies renouvelables ; Développement durable ; sustainable development ; BUSINESS & ECONOMICS ; Real Estate ; General ; TECHNOLOGY & ENGINEERING ; Powers Resources ; Electrical ; Island networks (Electricity) ; Renewable energy sources ; Smart power grids ; Sustainable development ; Islands ; Economic conditions
    Abstract: The smart grid initiative, integrating advanced sensing technologies, intelligent control methods, and bi-directional communications into the contemporary electricity grid, offers excellent opportunities for energy efficiency improvements and better integration of distributed generation, coexisting with centralized generation units within an active network. A large share of the installed capacity for recent renewable energy sources already comprises insular electricity grids, since the latter are preferable due to their high potential for renewables. However, the increasing share of renewables in the power generation mix of insular power systems presents a significant challenge to efficient management of the insular distribution networks, mainly due to the variability and uncertainty of renewable generation. More than other electricity grids, insular electricity grids require the incorporation of sustainable resources and the maximization of the integration of local resources, as well as specific solutions to cope with the inherent characteristics of renewable generation. Insular power systems need a new generation of methodologies and tools to face the new paradigm of large-scale renewable integration. Smart and Sustainable Power Systems: Operations, Planning, and Economics of Insular Electricity Grids discusses the modeling, simulation, and optimization of insular power systems to address the effects of large-scale integration of renewables and demand-side management. This practical book: Describes insular power systems, renewable energies, uncertainty, variability, reserves, and demand response Examines state-of-the-art forecasting techniques, power flow calculations, and scheduling models Covers probabilistic and stochastic approaches, scenario generation, and short-term operation Includes comprehensive testing and validation of the mathematical models using real-world data Explores electric price signals, competitive operation of distribution networks, and network expansion planning Smart and Sustainable Power Systems: Operations, Planning, and Economics of Insular Electricity Grids provides a valuable resource for the design of efficient methodologies, tools, and solutions for the development of a truly sustainable and smart grid.
    Note: Online resource; Title from title page (viewed June 18, 2015) , Mode of access: World Wide Web.
    URL: lizenzpflichtig
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    Online Resource
    MPI Ethno. Forsch.
  • 3
    Online Resource
    Online Resource
    Introduction to High-Dimensional Statistics (2014)
    [Erscheinungsort nicht ermittelbar] : Chapman and Hall/CRC | Boston, MA : Safari
    Details
    ISBN: 9781482237955 , 1482237954 , 1322629536 , 9781322629537 , 042917389X , 9780429173899 , 9781482237948
    Language: English
    Pages: 1 online resource (270 pages)
    Edition: 1st edition
    Series Statement: Monographs on statistics & applied probability 139
    Parallel Title: Erscheint auch als
    Keywords: Dimensional analysis ; Multivariate analysis ; Big data ; Statistics ; Electronic books ; local ; Analyse dimensionnelle ; Analyse multivariée ; Données volumineuses ; Statistique ; statistics ; MATHEMATICS ; Applied ; MATHEMATICS ; Probability & Statistics ; General ; Big data ; Dimensional analysis ; Multivariate analysis ; Statistics ; Boosting ; Datenanalyse ; Hochdimensionale Daten ; Inferenzstatistik ; Lasso-Methode ; Mathematische Modellierung ; Statistik
    Abstract: Ever-greater computing technologies have given rise to an exponentially growing volume of data. Today massive data sets (with potentially thousands of variables) play an important role in almost every branch of modern human activity, including networks, finance, and genetics. However, analyzing such data has presented a challenge for statisticians and data analysts and has required the development of new statistical methods capable of separating the signal from the noise. Introduction to High-Dimensional Statistics is a concise guide to state-of-the-art models, techniques, and approaches for handling high-dimensional data. The book is intended to expose the reader to the key concepts and ideas in the most simple settings possible while avoiding unnecessary technicalities. Offering a succinct presentation of the mathematical foundations of high-dimensional statistics, this highly accessible text: Describes the challenges related to the analysis of high-dimensional data Covers cutting-edge statistical methods including model selection, sparsity and the lasso, aggregation, and learning theory Provides detailed exercises at the end of every chapter with collaborative solutions on a wikisite Illustrates concepts with simple but clear practical examples Introduction to High-Dimensional Statistics is suitable for graduate students and researchers interested in discovering modern statistics for massive data. It can be used as a graduate text or for self-study.
    Note: Online resource; Title from title page (viewed December 17, 2014) , Mode of access: World Wide Web.
    URL: lizenzpflichtig
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    Online Resource
    MPI Ethno. Forsch.
  • 4
    Online Resource
    Online Resource
    Using R for Numerical Analysis in Science and Engineering (2014)
    [Erscheinungsort nicht ermittelbar] : CRC Press | Boston, MA : Safari
    Details
    ISBN: 9781315360492 , 1315360497
    Language: English
    Pages: 1 online resource (359 pages)
    Edition: 1st edition
    Series Statement: Chapman & Hall/CRC the R series
    Keywords: Science Data processing ; Engineering Data processing ; Numerical analysis ; R (Computer program language) ; Electronic books ; local ; Sciences ; Informatique ; Ingénierie ; Informatique ; Analyse numérique ; R (Langage de programmation) ; Engineering ; Data processing ; Numerical analysis ; R (Computer program language) ; Science ; Data processing
    Abstract: Instead of presenting the standard theoretical treatments that underlie the various numerical methods used by scientists and engineers, Using R for Numerical Analysis in Science and Engineering shows how to use R and its add-on packages to obtain numerical solutions to the complex mathematical problems commonly faced by scientists and engineers. This practical guide to the capabilities of R demonstrates Monte Carlo, stochastic, deterministic, and other numerical methods through an abundance of worked examples and code, covering the solution of systems of linear algebraic equations and nonlinear equations as well as ordinary differential equations and partial differential equations. It not only shows how to use R's powerful graphic tools to construct the types of plots most useful in scientific and engineering work, but also: Explains how to statistically analyze and fit data to linear and nonlinear models Explores numerical differentiation, integration, and optimization Describes how to find eigenvalues and eigenfunctions Discusses interpolation and curve fitting Considers the analysis of time series Using R for Numerical Analysis in Science and Engineering provides a solid introduction to the most useful numerical methods for scientific and engineering data analysis using R.
    Note: Online resource; Title from title page (viewed April 24, 2014) , Mode of access: World Wide Web.
    URL: lizenzpflichtig
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  • 5
    Online Resource
    Online Resource
    Data Analysis and Statistics for Geography, Environmental Science, and Engineering (2012)
    [Erscheinungsort nicht ermittelbar] : CRC Press | Boston, MA : Safari
    Details
    ISBN: 9781466592216 , 1466592214 , 9781439885017
    Language: English
    Pages: 1 online resource (557 pages)
    Edition: 1st edition
    Parallel Title: Erscheint auch als
    Keywords: Geography Data processing ; Geography Statistical methods ; Environmental sciences Data processing ; Environmental sciences Statistical methods ; Engineering Data processing ; Engineering Statistical methods ; Electronic books ; local ; Géographie ; Informatique ; Géographie ; Méthodes statistiques ; Sciences de l'environnement ; Informatique ; Sciences de l'environnement ; Méthodes statistiques ; Ingénierie ; Informatique ; Ingénierie ; Méthodes statistiques ; MATHEMATICS ; Applied ; MATHEMATICS ; Probability & Statistics ; General ; Engineering ; Data processing ; Engineering ; Statistical methods ; Environmental sciences ; Data processing ; Environmental sciences ; Statistical methods ; Geography ; Data processing ; Geography ; Statistical methods
    Abstract: Providing a solid foundation for twenty-first-century scientists and engineers, Data Analysis and Statistics for Geography, Environmental Science, and Engineering guides readers in learning quantitative methodology, including how to implement data analysis methods using open-source software. Given the importance of interdisciplinary work in sustainability, the book brings together principles of statistics and probability, multivariate analysis, and spatial analysis methods applicable across a variety of science and engineering disciplines. Learn How to Use a Variety of Data Analysis and Statistics Methods Based on the author's many years of teaching graduate and undergraduate students, this textbook emphasizes hands-on learning. Organized into two parts, it allows greater flexibility using the material in various countries and types of curricula. The first part covers probability, random variables and inferential statistics, applications of regression, time series analysis, and analysis of spatial point patterns. The second part uses matrix algebra to address multidimensional problems. After a review of matrices, it delves into multiple regression, dependent random processes and autoregressive time series, spatial analysis using geostatistics and spatial regression, discriminant analysis, and a variety of multivariate analyses based on eigenvector methods. Build from Fundamental Concepts to Effective Problem Solving Each chapter starts with conceptual and theoretical material to give a firm foundation in how the methods work. Examples and exercises illustrate the applications and demonstrate how to go from concepts to problem solving. Hands-on computer sessions allow students to grasp the practical implications and learn by doing. Throughout, the computer examples and exercises use seeg and RcmdrPlugin.seeg , open-source R packages developed by the author, which help students acquire the skills to implement and conduct analysis and to analyze the results. This self-contained book offers a unified presentation of data analysis methods for more effective problem solving. With clear, easy-to-follow explanations, the book helps students to develop a solid understanding of basic statistical analysis and prepares them for learning the more advanced and specialized methods they will need in their work.
    Note: Online resource; Title from title page (viewed December 7, 2012) , Mode of access: World Wide Web.
    URL: lizenzpflichtig
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