hobbs benjamin (57 resultados)

Condición: Muy bueno. : Este libro explora la investigación, la innovación y las buenas prácticas en el desarrollo profesional de los profesores de inglés. Con contribuciones de varios autores, el libro ofrece una visión detallada de la didáctica de las lenguas extranjeras y el desarrollo profesional del profesorado. EAN: 9788499800967 Tipo: Libros Categoría: Educación Título: Inglés. Investigación, innovación y buenas prácticas Autor: Ramiro Duran Martínez| Maria Rosa Alonso Alonso| Matthew Benjamin Banks| Lourdes Cerezo García| Amos Paran| Susan House| Mei Lin| Valerie Howard Hobbs Editorial: Editorial Graó Idioma: es-ES Páginas: 165 Formato: tapa blanda.

hardcover. Condición: Very Good.

Condición: Good. Your purchase helps support Sri Lankan Children's Charity 'The Rainbow Centre'. Ex-library, so some stamps and wear, but in good overall condition. Our donations to The Rainbow Centre have helped provide an education and a safe haven to hundreds of children who live in appalling conditions.

Condición: New.

Condición: New.

Condición: As New. Unread book in perfect condition.

Condición: New. In.

Condición: New. In.

Condición: New.

Condición: New. In.

Condición: As New. Unread book in perfect condition.

Condición: New. Policy making in the electric utility and natural gas sectors involves important trade-offs among economic, social, and environmental criteria. This work reviews useful tools for multicriteria decision analysis that can be used to quantify trade-offs and contribute to more informed decision making. Series: International Series in Operations Research & Management Science. Num Pages: 266 pages, biography. BIC Classification: KJT; RNF. Category: (P) Professional & Vocational; (UP) Postgraduate, Research & Scholarly; (UU) Undergraduate. Dimension: 234 x 156 x 17. Weight in Grams: 565. . 2000. Hardback. . . . .

Condición: New. pp. 276.

Taschenbuch. Condición: Neu. Energy Decisions and the Environment | A Guide to the Use of Multicriteria Methods | Benjamin F. Hobbs (u. a.) | Taschenbuch | International Series in Operations Research & Management Science | ix | Englisch | 2012 | Springer | EAN 9781461370178 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.

Condición: New. In English.

Condición: New. Policy making in the electric utility and natural gas sectors involves important trade-offs among economic, social, and environmental criteria. This work reviews useful tools for multicriteria decision analysis that can be used to quantify trade-offs and contribute to more informed decision making. Series: International Series in Operations Research & Management Science. Num Pages: 266 pages, biography. BIC Classification: KJT; RNF. Category: (P) Professional & Vocational; (UP) Postgraduate, Research & Scholarly; (UU) Undergraduate. Dimension: 234 x 156 x 17. Weight in Grams: 565. . 2000. Hardback. . . . . Books ship from the US and Ireland.

Taschenbuch. Condición: Neu. Druck auf Anfrage Neuware - Printed after ordering - Planning, operating, and policy making in the electric utility and natural gas sectors involves important trade-offs among economic, social, and environmental criteria. These trade-offs figure prominently in ongoing debates about how to meet growing energy demands and how to restructure the world's power industry. Energy Decisions and the Environment: A Guide to the Use of Multicriteria Methods reviews practical tools for multicriteria (also called multiobjective) decision analysis that can be used to quantify trade-offs and contribute to more consistent, informed, and transparent decision making. These methods are designed to generate and effectively communicate information about trade-offs; to help people form, articulate, and apply value judgments in decision making; and to promote effective negotiation among stakeholders with competing interests. Energy Decisions and the Environment: A Guide to the Use of Multicriteria Methods includes explanations of a wide range of methods, tutorial applications that readers can duplicate, a detailed review of energy-environment applications, and three in-depth case studies.

Buch. Condición: Neu. Druck auf Anfrage Neuware - Printed after ordering - Planning, operating, and policy making in the electric utility and natural gas sectors involves important trade-offs among economic, social, and environmental criteria. These trade-offs figure prominently in ongoing debates about how to meet growing energy demands and how to restructure the world's power industry. Energy Decisions and the Environment: A Guide to the Use of Multicriteria Methods reviews practical tools for multicriteria (also called multiobjective) decision analysis that can be used to quantify trade-offs and contribute to more consistent, informed, and transparent decision making. These methods are designed to generate and effectively communicate information about trade-offs; to help people form, articulate, and apply value judgments in decision making; and to promote effective negotiation among stakeholders with competing interests. Energy Decisions and the Environment: A Guide to the Use of Multicriteria Methods includes explanations of a wide range of methods, tutorial applications that readers can duplicate, a detailed review of energy-environment applications, and three in-depth case studies.

Condición: New. In.

Condición: New. In.

Taschenbuch. Condición: Neu. The Next Generation of Electric Power Unit Commitment Models | Benjamin F. Hobbs (u. a.) | Taschenbuch | International Series in Operations Research & Management Science | viii | Englisch | 2013 | Springer | EAN 9781475774160 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.

Condición: Gut. Zustand: Gut | Seiten: 332 | Sprache: Englisch | Produktart: Bücher | Over the years, the electric power industry has been using optimization methods to help them solve the unit commitment problem. The result has been savings of tens and perhaps hundreds of millions of dollars in fuel costs. Things are changing, however. Optimization technology is improving, and the industry is undergoing radical restructuring. Consequently, the role of commitment models is changing, and the value of the improved solutions that better algorithms might yield is increasing. The dual purpose of this book is to explore the technology and needs of the next generation of computer models for aiding unit commitment decisions. Because of the unit commitment problem's size and complexity and because of the large economic benefits that could result from its improved solution, considerable attention has been devoted to algorithm development in the book. More systematic procedures based on a variety of widely researched algorithms have been proposed and tested. These techniques have included dynamic programming, branch-and-bound mixed integer programming (MIP), linear and network programming approaches, and Benders decomposition methods, among others. Recently, metaheuristic methods have been tested, such as genetic programming and simulated annealing, along with expert systems and neural networks. Because electric markets are changing rapidly, how UC models are solved and what purposes they serve need reconsideration. Hence, the book brings together people who understand the problem and people who know what improvements in algorithms are really possible. The two-fold result in The Next Generation of Electric Power Unit Commitment Models is an assessment of industry needs and new formulations and computational approaches that promise to make unit commitment models more responsive to those needs.

Condición: New. pp. 332.

Condición: New. pp. 332.

Condición: New. As optimization technology improves, the electric power industry is undergoing radical restructuring, and the role of commitment models is changing. The dual purpose of this book is to explore the technology and needs of the next generation of computer models for aiding unit commitment decisions. Editor(s): Hobbs, Benjamin F.; Rothkopf, Michael H.; Chao, Hung-Po; O'Neill, Richard P. Series: International Series in Operations Research & Management Science. Num Pages: 328 pages, biography. BIC Classification: KC; KNBL; RNF. Category: (P) Professional & Vocational; (UP) Postgraduate, Research & Scholarly. Dimension: 234 x 156 x 19. Weight in Grams: 642. . 2001. Hardback. . . . .

Taschenbuch. Condición: Neu. Druck auf Anfrage Neuware - Printed after ordering - Over the years, the electric power industry has been using optimization methods to help them solve the unit commitment problem. The result has been savings of tens and perhaps hundreds of millions of dollars in fuel costs. Things are changing, however. Optimization technology is improving, and the industry is undergoing radical restructuring. Consequently, the role of commitment models is changing, and the value of the improved solutions that better algorithms might yield is increasing. The dual purpose of this book is to explore the technology and needs of the next generation of computer models for aiding unit commitment decisions. Because of the unit commitment problem's size and complexity and because of the large economic benefits that could result from its improved solution, considerable attention has been devoted to algorithm development in the book. More systematic procedures based on a variety of widely researched algorithms have been proposed and tested. These techniques have included dynamic programming, branch-and-bound mixed integer programming (MIP), linear and network programming approaches, and Benders decomposition methods, among others. Recently, metaheuristic methods have been tested, such as genetic programming and simulated annealing, along with expert systems and neural networks. Because electric markets are changing rapidly, how UC models are solved and what purposes they serve need reconsideration. Hence, the book brings together people who understand the problem and people who know what improvements in algorithms are really possible. The two-fold result in The Next Generation of Electric Power Unit Commitment Models is an assessment of industry needs and new formulations and computational approaches that promise to make unit commitment models more responsive to those needs.

Buch. Condición: Neu. Druck auf Anfrage Neuware - Printed after ordering - Over the years, the electric power industry has been using optimization methods to help them solve the unit commitment problem. The result has been savings of tens and perhaps hundreds of millions of dollars in fuel costs. Things are changing, however. Optimization technology is improving, and the industry is undergoing radical restructuring. Consequently, the role of commitment models is changing, and the value of the improved solutions that better algorithms might yield is increasing. The dual purpose of this book is to explore the technology and needs of the next generation of computer models for aiding unit commitment decisions. Because of the unit commitment problem's size and complexity and because of the large economic benefits that could result from its improved solution, considerable attention has been devoted to algorithm development in the book. More systematic procedures based on a variety of widely researched algorithms have been proposed and tested. These techniques have included dynamic programming, branch-and-bound mixed integer programming (MIP), linear and network programming approaches, and Benders decomposition methods, among others. Recently, metaheuristic methods have been tested, such as genetic programming and simulated annealing, along with expert systems and neural networks. Because electric markets are changing rapidly, how UC models are solved and what purposes they serve need reconsideration. Hence, the book brings together people who understand the problem and people who know what improvements in algorithms are really possible. The two-fold result in The Next Generation of Electric Power Unit Commitment Models is an assessment of industry needs and new formulations and computational approaches that promise to make unit commitment models more responsive to those needs.

Condición: New.

Condición: New.

Paperback. Condición: Brand New. 328 pages. 9.25x6.10x0.80 inches. In Stock.