Armax

Author : Jayme Milanezi Junior
Publisher : AYA Editora
ISBN 13 : 6553795053
Total Pages : 184 pages
Book Rating : 4.51/5 ( download)

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Download or read book Load Prediction in Smart Grids with Radiofrequency-Based and other Power Sources: How do Autoregressive Algorithms and Neural Networks Perform written by Jayme Milanezi Junior and published by AYA Editora. This book was released on 2024-05-02 with total page 184 pages. Available in PDF, EPUB and Kindle. Book excerpt: Este livro analisa uma pesquisa realizada entre 2012 e 2014 sobre previsão de carga elétrica com três fontes de energia inovadoras: reciclagem de luz interna, enguias elétricas e energia de irradiação EM de antenas RF. Originada da dissertação de mestrado da Universidade de Brasília, intitulada “Previsão Espaço-Temporal dos Sistemas de Energia Elétrica Incluindo Fontes de Energia Renováveis Emergentes”, a obra rediscute esses vetores energéticos alternativos e explora ferramentas de previsão para carga elétrica. Destaca-se a análise de séries temporais e espaciais, empregando métodos matemáticos e algoritmos, incluindo modelos autoregressivos e redes neurais artificiais. O foco especial é dado à seção sobre colheita de energia RF, identificada como a mais promissora entre as fontes estudadas. O livro, intitulado “Previsão de Carga em Redes Inteligentes com Fontes de Energia Baseadas em Radiofrequência e Outras”, apresenta essas tecnologias emergentes como alternativas viáveis na geração de energia.

Author : JAE-EUNG LEE
Publisher :
ISBN 13 :
Total Pages : 556 pages
Book Rating : 4.01/5 ( download)

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Download or read book LINEAR MULTI-STAGE IDENTIFICATION OF ARMAX PROCESSES WITH STOCHASTIC STRUCTURAL DYNAMICS APPLICATIONS. written by JAE-EUNG LEE and published by . This book was released on 1991 with total page 556 pages. Available in PDF, EPUB and Kindle. Book excerpt: explained, and the methodology is subsequently utilized for estimated structural model analysis and reduction.

Author : Vasilis Marmarelis
Publisher : Springer Science & Business
ISBN 13 : 3642544649
Total Pages : 241 pages
Book Rating : 4.44/5 ( download)

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Download or read book Data-driven Modeling for Diabetes written by Vasilis Marmarelis and published by Springer Science & Business. This book was released on 2014-04-22 with total page 241 pages. Available in PDF, EPUB and Kindle. Book excerpt: This contributed volume presents computational models of diabetes that quantify the dynamic interrelationships among key physiological variables implicated in the underlying physiology under a variety of metabolic and behavioral conditions. These variables comprise for example blood glucose concentration and various hormones such as insulin, glucagon, epinephrine, norepinephrine as well as cortisol. The presented models provide a powerful diagnostic tool but may also enable treatment via long-term glucose regulation in diabetics through closed-look model-reference control using frequent insulin infusions, which are administered by implanted programmable micro-pumps. This research volume aims at presenting state-of-the-art research on this subject and demonstrating the potential applications of modeling to the diagnosis and treatment of diabetes. The target audience primarily comprises research and experts in the field but the book may also be beneficial for graduate students.

Author : S.D. FASSOIS AND /J.E. LEE
Publisher :
ISBN 13 :
Total Pages : 24 pages
Book Rating : 4.74/5 ( download)

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Download or read book A LINEAR MULTI-STAGE METHOD FOR MULTICARIATE ARMAX PROCESS IDENTIFICATION-PART:1 THE BASIC FORMS OF THE ESTIMATOR written by S.D. FASSOIS AND /J.E. LEE and published by . This book was released on 1990 with total page 24 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Author :
Publisher :
ISBN 13 :
Total Pages : 35 pages
Book Rating : 4.44/5 ( download)

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Download or read book A LINEAR MULTI - STAGE METHOD FOR MULTIVARIATE ARMAX PROCESS IDENTIFICATION - PART II: EFFECTIVE STRUCTURE/ PARAMETER ESTIMATION AND PERFORMANCE EVALUATION written by and published by . This book was released on 1990 with total page 35 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Author : James V. Candy
Publisher : John Wiley & Sons
ISBN 13 : 0471732664
Total Pages : 702 pages
Book Rating : 4.62/5 ( download)

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Download or read book Model-Based Signal Processing written by James V. Candy and published by John Wiley & Sons. This book was released on 2005-10-27 with total page 702 pages. Available in PDF, EPUB and Kindle. Book excerpt: A unique treatment of signal processing using a model-based perspective Signal processing is primarily aimed at extracting useful information, while rejecting the extraneous from noisy data. If signal levels are high, then basic techniques can be applied. However, low signal levels require using the underlying physics to correct the problem causing these low levels and extracting the desired information. Model-based signal processing incorporates the physical phenomena, measurements, and noise in the form of mathematical models to solve this problem. Not only does the approach enable signal processors to work directly in terms of the problem's physics, instrumentation, and uncertainties, but it provides far superior performance over the standard techniques. Model-based signal processing is both a modeler's as well as a signal processor's tool. Model-Based Signal Processing develops the model-based approach in a unified manner and follows it through the text in the algorithms, examples, applications, and case studies. The approach, coupled with the hierarchy of physics-based models that the author develops, including linear as well as nonlinear representations, makes it a unique contribution to the field of signal processing. The text includes parametric (e.g., autoregressive or all-pole), sinusoidal, wave-based, and state-space models as some of the model sets with its focus on how they may be used to solve signal processing problems. Special features are provided that assist readers in understanding the material and learning how to apply their new knowledge to solving real-life problems. * Unified treatment of well-known signal processing models including physics-based model sets * Simple applications demonstrate how the model-based approach works, while detailed case studies demonstrate problem solutions in their entirety from concept to model development, through simulation, application to real data, and detailed performance analysis * Summaries provided with each chapter ensure that readers understand the key points needed to move forward in the text as well as MATLAB(r) Notes that describe the key commands and toolboxes readily available to perform the algorithms discussed * References lead to more in-depth coverage of specialized topics * Problem sets test readers' knowledge and help them put their new skills into practice The author demonstrates how the basic idea of model-based signal processing is a highly effective and natural way to solve both basic as well as complex processing problems. Designed as a graduate-level text, this book is also essential reading for practicing signal-processing professionals and scientists, who will find the variety of case studies to be invaluable. An Instructor's Manual presenting detailed solutions to all the problems in the book is available from the Wiley editorial department

Author : Van-Nam Huynh
Publisher : Springer
ISBN 13 : 331949046X
Total Pages : 740 pages
Book Rating : 4.65/5 ( download)

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Download or read book Integrated Uncertainty in Knowledge Modelling and Decision Making written by Van-Nam Huynh and published by Springer. This book was released on 2016-11-21 with total page 740 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the 5th International Symposium on Integrated Uncertainty in Knowledge Modelling and Decision Making, IUKM 2016, held in Da Nang, Vietnam, in November/December 2016. The IUKM symposia aim to provide a forum for exchanges of research results and ideas, and experience of application among researchers and practitioners involved with all aspects of uncertainty modelling and management.

Author : Oliver Nelles
Publisher : Springer Science & Business Media
ISBN 13 : 3662043238
Total Pages : 785 pages
Book Rating : 4.33/5 ( download)

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Download or read book Nonlinear System Identification written by Oliver Nelles and published by Springer Science & Business Media. This book was released on 2013-03-09 with total page 785 pages. Available in PDF, EPUB and Kindle. Book excerpt: Written from an engineering point of view, this book covers the most common and important approaches for the identification of nonlinear static and dynamic systems. The book also provides the reader with the necessary background on optimization techniques, making it fully self-contained. The new edition includes exercises.

Author : Lipo Wang
Publisher : Springer Science & Business Media
ISBN 13 : 3540459162
Total Pages : 1362 pages
Book Rating : 4.63/5 ( download)

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Download or read book Fuzzy Systems and Knowledge Discovery written by Lipo Wang and published by Springer Science & Business Media. This book was released on 2006-09-19 with total page 1362 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the Third International Conference on Fuzzy Systems and Knowledge Discovery, FSKD 2006, held in federation with the Second International Conference on Natural Computation ICNC 2006. The book presents 115 revised full papers and 50 revised short papers. Coverage includes neural computation, quantum computation, evolutionary computation, DNA computation, fuzzy computation, granular computation, artificial life, innovative applications to knowledge discovery, finance, operations research, and more.

Author : Juan-Manuel Ramos-Arreguin
Publisher : BoD – Books on Demand
ISBN 13 : 3902613416
Total Pages : 400 pages
Book Rating : 4.17/5 ( download)

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Download or read book Automation and Robotics written by Juan-Manuel Ramos-Arreguin and published by BoD – Books on Demand. This book was released on 2008-05-01 with total page 400 pages. Available in PDF, EPUB and Kindle. Book excerpt: In this book, a set of relevant, updated and selected papers in the field of automation and robotics are presented. These papers describe projects where topics of artificial intelligence, modeling and simulation process, target tracking algorithms, kinematic constraints of the closed loops, non-linear control, are used in advanced and recent research.