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Advanced decision making for HVAC engineers[electronic resource] :creating energy efficient smart buildings /

紀錄類型:	書目-電子資源 : Monograph/item
杜威分類號:	697
書名/作者:	Advanced decision making for HVAC engineers : creating energy efficient smart buildings // by Javad Khazaii.
作者:	Khazaii, Javad.
出版者:	Cham : : Springer International Publishing :, 2016.
面頁冊數:	xvii, 191 p. : : ill., digital ;; 24 cm.
Contained By:	Springer eBooks
標題:	Heating and ventilation industry - Management.
標題:	Sustainable buildings.
標題:	Buildings - Energy conservation.
標題:	Decision making.
標題:	Problem solving.
標題:	Energy.
標題:	Energy Efficiency (incl. Buildings)
標題:	Building Physics, HVAC.
標題:	Energy Technology.
標題:	Operation Research/Decision Theory.
ISBN:	9783319333281
ISBN:	9783319333274
內容註:	Introduction -- Heat Transfer in a Nutshell -- Load Calculation and Energy Modeling -- Data Centers -- Healthcare Facilities -- Laboratories -- Cleanrooms -- Commercial Kitchens and Dining Facilities -- Introduction -- Analytical Hierarchy Process -- Genetic Algorithm Optimization -- Pareto Base Optimization -- Decision making under uncertainty -- Agent Based Modeling -- Artificial Neural Network -- Fuzzy Logic -- Game Theory -- Buildings of the Future.
摘要、提要註:	This book focuses on some of the most energy-consuming HVAC systems; illuminating huge opportunities for energy savings in buildings that operate with these systems. The main discussion is on, cutting-edge decision making approaches, and algorithms in: decision making under uncertainty, genetic algorithms, fuzzy logic, artificial neural networks, agent based modeling, and game theory. These methods are applied to HVAC systems, in order to help designers select the best options among the many available pathways for designing and the building of HVAC systems and applications. The discussion further evolves to depict how the buildings of the future can incorporate these advanced decision-making algorithms to become autonomous and truly 'smart'.
電子資源:	http://dx.doi.org/10.1007/978-3-319-33328-1

Advanced decision making for HVAC engineers[electronic resource] :creating energy efficient smart buildings /
Khazaii, Javad.

Advanced decision making for HVAC engineerscreating energy efficient smart buildings /[electronic resource] :by Javad Khazaii. - Cham :Springer International Publishing :2016. - xvii, 191 p. :ill., digital ;24 cm.

Introduction -- Heat Transfer in a Nutshell -- Load Calculation and Energy Modeling -- Data Centers -- Healthcare Facilities -- Laboratories -- Cleanrooms -- Commercial Kitchens and Dining Facilities -- Introduction -- Analytical Hierarchy Process -- Genetic Algorithm Optimization -- Pareto Base Optimization -- Decision making under uncertainty -- Agent Based Modeling -- Artificial Neural Network -- Fuzzy Logic -- Game Theory -- Buildings of the Future.

This book focuses on some of the most energy-consuming HVAC systems; illuminating huge opportunities for energy savings in buildings that operate with these systems. The main discussion is on, cutting-edge decision making approaches, and algorithms in: decision making under uncertainty, genetic algorithms, fuzzy logic, artificial neural networks, agent based modeling, and game theory. These methods are applied to HVAC systems, in order to help designers select the best options among the many available pathways for designing and the building of HVAC systems and applications. The discussion further evolves to depict how the buildings of the future can incorporate these advanced decision-making algorithms to become autonomous and truly 'smart'.

ISBN: 9783319333281

Standard No.: 10.1007/978-3-319-33328-1doiSubjects--Topical Terms:

669846
Heating and ventilation industry
--Management.

LC Class. No.: HD9683

Dewey Class. No.: 697

Advanced decision making for HVAC engineers[electronic resource] :creating energy efficient smart buildings /
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505 0 $a Introduction -- Heat Transfer in a Nutshell -- Load Calculation and Energy Modeling -- Data Centers -- Healthcare Facilities -- Laboratories -- Cleanrooms -- Commercial Kitchens and Dining Facilities -- Introduction -- Analytical Hierarchy Process -- Genetic Algorithm Optimization -- Pareto Base Optimization -- Decision making under uncertainty -- Agent Based Modeling -- Artificial Neural Network -- Fuzzy Logic -- Game Theory -- Buildings of the Future.
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