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 Online-Ressource
Verfasst von:Magoulès, Frédéric [VerfasserIn]   i
 Zhao, Hai-Xiang [VerfasserIn]   i
Titel:Data mining and machine learning in building energy analysis
Verf.angabe:Frédéric Magoulès, Hai-Xiang Zhao
Verlagsort:London ; Hoboken, NJ
 London ; Hoboken, NJ
Verlag:ISTE
 Wiley
Jahr:2016
 2016
Umfang:1 online resource (xiv, 164 pages
Illustrationen:illustrations
Gesamttitel/Reihe:Computer engineering series
Fussnoten:Includes bibliographical references and index. - Print version record
ISBN:978-1-118-57759-2
 1-118-57759-0
 978-1-118-57769-1
 1-118-57769-8
 1-118-57748-5
 978-1-118-57748-6
 978-1-84821-422-4
Abstract:"The energy performance in buildings is influenced by many factors, such as ambient weather conditions, building structure and characteristics, occupants and their behaviors, operation of sublevel components like heating, ventilation and air-conditioning systems. These complex properties make the prediction, analysis or fault detection/diagnosis of building energy consumption very difficult to perform accurately. This book focuses on up-to-date data mining and machine-learning methods to solve these problems."--Preface
 "Focusing on up-to-date artificial intelligence models to solve building energy problems, "Artificial Intelligence for Building Energy Analysis" reviews recently developed models for solving these issues, including detailed and simplified engineering methods, statistical methods, and artificial intelligence methods. The text also simulates energy consumption profiles for single and multiple buildings. Based on these datasets, Support Vector Machine (SVM) models are trained and tested to do the prediction. Suitable for novice, intermediate, and advanced readers, this is a vital resource for building designers, engineers, and students."--Provided by publisher
URL:Aggregator: https://learning.oreilly.com/library/view/-/9781848214224/?ar
Datenträger:Online-Ressource
Sprache:eng
Bibliogr. Hinweis:Erscheint auch als : Druck-Ausgabe
Sach-SW:Constructions ; Économies d'énergie ; Recherche
 Exploration de données (Informatique)
 Apprentissage automatique
 Constructions ; Économies d'énergie ; Modèles mathématiques
 COMPUTERS ; General
 Buildings ; Energy conservation ; Mathematical models
 Buildings ; Energy conservation ; Research
 Data mining
 Machine learning
K10plus-PPN:1903897718
 
 
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