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Author: William H. Kersting Publisher: CRC Press ISBN: 1439856478 Category : Technology & Engineering Languages : en Pages : 450
Book Description
Updated to reflect the latest changes and advances in the field, Distribution System Modeling and Analysis, Third Edition again illustrates methods that will ensure the most accurate possible results in computational modeling for electric power distribution systems. With the same simplified approach of previous editions, this book clearly explains the principles and mathematics behind system models, also discussing the "smart grid" concept and its special benefits. However, this volume adds a crucial element not found in previous editions. The first two books developed models for all components but focused less on how to actually implement those models on a computer for planning and for real-time analysis. This book includes numerous models of components and several practical examples, to demonstrate how engineers can apply and customize computer programs to help them plan and operate systems. It also covers approximation methods to help users interpret computer program feedback, so they recognize when a result is not what it should be. Another improvement is the book’s earlier introduction (in chapter 4) of the modified ladder iterative technique. The author explains the need for this method—which is used in most distribution analysis programs—detailing how it is applied and why it is among the most powerful options. Concluding with a detailed summary of presented topics that readers have come to expect, this edition provides useful problems, references, and assignments that help users apply Mathcad® and WIndmil programs to put their new learning into practice. An invaluable tool for engineering students and professionals worldwide, this book explores cutting-edge advances in modeling, simulation, and analysis of distribution systems that can ensure the continued dispersal of safe, reliable energy. Watch William H. Kerstig talk about his book at: http://www.youtube.com/watch?v=qmlDiH1ntuE
Author: William H. Kersting Publisher: CRC Press ISBN: 1439856478 Category : Technology & Engineering Languages : en Pages : 450
Book Description
Updated to reflect the latest changes and advances in the field, Distribution System Modeling and Analysis, Third Edition again illustrates methods that will ensure the most accurate possible results in computational modeling for electric power distribution systems. With the same simplified approach of previous editions, this book clearly explains the principles and mathematics behind system models, also discussing the "smart grid" concept and its special benefits. However, this volume adds a crucial element not found in previous editions. The first two books developed models for all components but focused less on how to actually implement those models on a computer for planning and for real-time analysis. This book includes numerous models of components and several practical examples, to demonstrate how engineers can apply and customize computer programs to help them plan and operate systems. It also covers approximation methods to help users interpret computer program feedback, so they recognize when a result is not what it should be. Another improvement is the book’s earlier introduction (in chapter 4) of the modified ladder iterative technique. The author explains the need for this method—which is used in most distribution analysis programs—detailing how it is applied and why it is among the most powerful options. Concluding with a detailed summary of presented topics that readers have come to expect, this edition provides useful problems, references, and assignments that help users apply Mathcad® and WIndmil programs to put their new learning into practice. An invaluable tool for engineering students and professionals worldwide, this book explores cutting-edge advances in modeling, simulation, and analysis of distribution systems that can ensure the continued dispersal of safe, reliable energy. Watch William H. Kerstig talk about his book at: http://www.youtube.com/watch?v=qmlDiH1ntuE
Author: William H. Kersting Publisher: CRC Press ISBN: 1420041738 Category : Technology & Engineering Languages : en Pages : 329
Book Description
For decades, distribution engineers did not have the sophisticated tools developed for analyzing transmission systems-often they had only their instincts. Things have changed, and we now have computer programs that allow engineers to simulate, analyze, and optimize distribution systems. Powerful as these programs are, however, without a real unders
Author: Averill Law Publisher: McGraw-Hill Science/Engineering/Math ISBN: 9780073294414 Category : Technology & Engineering Languages : en Pages : 792
Book Description
Since the publication of the first edition in 1982, the goal of Simulation Modeling and Analysis has always been to provide a comprehensive, state-of-the-art, and technically correct treatment of all important aspects of a simulation study. The book strives to make this material understandable by the use of intuition and numerous figures, examples, and problems. It is equally well suited for use in university courses, simulation practice, and self study. The book is widely regarded as the “bible” of simulation and now has more than 100,000 copies in print. The book can serve as the primary text for a variety of courses; for example: • A first course in simulation at the junior, senior, or beginning-graduate-student level in engineering, manufacturing, business, or computer science (Chaps. 1 through 4, and parts of Chaps. 5 through 9). At the end of such a course, the students will be prepared to carry out complete and effective simulation studies, and to take advanced simulation courses. • A second course in simulation for graduate students in any of the above disciplines (most of Chaps. 5 through 12). After completing this course, the student should be familiar with the more advanced methodological issues involved in a simulation study, and should be prepared to understand and conduct simulation research. • An introduction to simulation as part of a general course in operations research or management science (part of Chaps. 1, 3, 5, 6, and 9).
Author: Manuel D. Rossetti Publisher: John Wiley & Sons ISBN: 111885814X Category : Mathematics Languages : en Pages : 746
Book Description
Emphasizes a hands-on approach to learning statistical analysis and model building through the use of comprehensive examples, problems sets, and software applications With a unique blend of theory and applications, Simulation Modeling and Arena®, Second Edition integrates coverage of statistical analysis and model building to emphasize the importance of both topics in simulation. Featuring introductory coverage on how simulation works and why it matters, the Second Edition expands coverage on static simulation and the applications of spreadsheets to perform simulation. The new edition also introduces the use of the open source statistical package, R, for both performing statistical testing and fitting distributions. In addition, the models are presented in a clear and precise pseudo-code form, which aids in understanding and model communication. Simulation Modeling and Arena, Second Edition also features: Updated coverage of necessary statistical modeling concepts such as confidence interval construction, hypothesis testing, and parameter estimation Additional examples of the simulation clock within discrete event simulation modeling involving the mechanics of time advancement by hand simulation A guide to the Arena Run Controller, which features a debugging scenario New homework problems that cover a wider range of engineering applications in transportation, logistics, healthcare, and computer science A related website with an Instructor’s Solutions Manual, PowerPoint® slides, test bank questions, and data sets for each chapter Simulation Modeling and Arena, Second Edition is an ideal textbook for upper-undergraduate and graduate courses in modeling and simulation within statistics, mathematics, industrial and civil engineering, construction management, business, computer science, and other departments where simulation is practiced. The book is also an excellent reference for professionals interested in mathematical modeling, simulation, and Arena.
Author: Andrew Gelman Publisher: CRC Press ISBN: 1439840954 Category : Mathematics Languages : en Pages : 677
Book Description
Now in its third edition, this classic book is widely considered the leading text on Bayesian methods, lauded for its accessible, practical approach to analyzing data and solving research problems. Bayesian Data Analysis, Third Edition continues to take an applied approach to analysis using up-to-date Bayesian methods. The authors—all leaders in the statistics community—introduce basic concepts from a data-analytic perspective before presenting advanced methods. Throughout the text, numerous worked examples drawn from real applications and research emphasize the use of Bayesian inference in practice. New to the Third Edition Four new chapters on nonparametric modeling Coverage of weakly informative priors and boundary-avoiding priors Updated discussion of cross-validation and predictive information criteria Improved convergence monitoring and effective sample size calculations for iterative simulation Presentations of Hamiltonian Monte Carlo, variational Bayes, and expectation propagation New and revised software code The book can be used in three different ways. For undergraduate students, it introduces Bayesian inference starting from first principles. For graduate students, the text presents effective current approaches to Bayesian modeling and computation in statistics and related fields. For researchers, it provides an assortment of Bayesian methods in applied statistics. Additional materials, including data sets used in the examples, solutions to selected exercises, and software instructions, are available on the book’s web page.
Author: Howard M. Taylor Publisher: Academic Press ISBN: 1483269272 Category : Mathematics Languages : en Pages : 410
Book Description
An Introduction to Stochastic Modeling provides information pertinent to the standard concepts and methods of stochastic modeling. This book presents the rich diversity of applications of stochastic processes in the sciences. Organized into nine chapters, this book begins with an overview of diverse types of stochastic models, which predicts a set of possible outcomes weighed by their likelihoods or probabilities. This text then provides exercises in the applications of simple stochastic analysis to appropriate problems. Other chapters consider the study of general functions of independent, identically distributed, nonnegative random variables representing the successive intervals between renewals. This book discusses as well the numerous examples of Markov branching processes that arise naturally in various scientific disciplines. The final chapter deals with queueing models, which aid the design process by predicting system performance. This book is a valuable resource for students of engineering and management science. Engineers will also find this book useful.
Author: Barry L. Nelson Publisher: Courier Corporation ISBN: 0486139948 Category : Mathematics Languages : en Pages : 338
Book Description
Coherent introduction to techniques also offers a guide to the mathematical, numerical, and simulation tools of systems analysis. Includes formulation of models, analysis, and interpretation of results. 1995 edition.
Author: Karl Johan Åström Publisher: Princeton University Press ISBN: 069121347X Category : Technology & Engineering Languages : en Pages :
Book Description
The essential introduction to the principles and applications of feedback systems—now fully revised and expanded This textbook covers the mathematics needed to model, analyze, and design feedback systems. Now more user-friendly than ever, this revised and expanded edition of Feedback Systems is a one-volume resource for students and researchers in mathematics and engineering. It has applications across a range of disciplines that utilize feedback in physical, biological, information, and economic systems. Karl Åström and Richard Murray use techniques from physics, computer science, and operations research to introduce control-oriented modeling. They begin with state space tools for analysis and design, including stability of solutions, Lyapunov functions, reachability, state feedback observability, and estimators. The matrix exponential plays a central role in the analysis of linear control systems, allowing a concise development of many of the key concepts for this class of models. Åström and Murray then develop and explain tools in the frequency domain, including transfer functions, Nyquist analysis, PID control, frequency domain design, and robustness. Features a new chapter on design principles and tools, illustrating the types of problems that can be solved using feedback Includes a new chapter on fundamental limits and new material on the Routh-Hurwitz criterion and root locus plots Provides exercises at the end of every chapter Comes with an electronic solutions manual An ideal textbook for undergraduate and graduate students Indispensable for researchers seeking a self-contained resource on control theory
Author: William H. Kersting
Author: William H. Kersting
Author: William H. Kersting
Author: William H. Kersting
Author: Averill Law
Author: Manuel D. Rossetti
Author: Andrew Gelman
Author: Andrew Sleeper
Author: Howard M. Taylor
Author: Barry L. Nelson
Author: Karl Johan Åström