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Advanced decision making for HVAC en...

Khazaii, Javad.

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Advanced decision making for HVAC engineers = creating energy efficient smart buildings /

Record Type:	Electronic resources : Monograph/item
Title/Author:	Advanced decision making for HVAC engineers/ by Javad Khazaii.
Reminder of title:	creating energy efficient smart buildings /
Author:	Khazaii, Javad.
Published:	Cham :Springer International Publishing : : 2016.,
Description:	xvii, 191 p. :ill., digital ;24 cm.
[NT 15003449]:	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.
Contained By:	Springer eBooks
Subject:	Heating and ventilation industry - Management. -
Online resource:	http://dx.doi.org/10.1007/978-3-319-33328-1
ISBN:	9783319333281

Advanced decision making for HVAC engineers = 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:

2210154
Heating and ventilation industry
--Management.

LC Class. No.: HD9683

Dewey Class. No.: 697

Advanced decision making for HVAC engineers = creating energy efficient smart buildings /
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100 1 $a Khazaii, Javad. $3 2108827
245 1 0 $a Advanced decision making for HVAC engineers $h [electronic resource] : $b creating energy efficient smart buildings / $c by Javad Khazaii.
260 $a Cham : $b Springer International Publishing : $b Imprint: Springer, $c 2016.
300 $a xvii, 191 p. : $b ill., digital ; $c 24 cm.
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.
520 $a 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'.
650 0 $a Heating and ventilation industry $x Management. $3 2210154
650 0 $a Sustainable buildings. $3 908666
650 0 $a Buildings $x Energy conservation. $3 606552
650 0 $a Decision making. $3 517204
650 0 $a Problem solving. $3 516855
650 1 4 $a Energy. $3 876794
650 2 4 $a Energy Efficiency (incl. Buildings) $3 1530404
650 2 4 $a Building Physics, HVAC. $3 2055153
650 2 4 $a Energy Technology. $3 1001977
650 2 4 $a Operation Research/Decision Theory. $3 1620900
710 2 $a SpringerLink (Online service) $3 836513
773 0 $t Springer eBooks
856 4 0 $u http://dx.doi.org/10.1007/978-3-319-33328-1
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