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Data Mining and Machine Learning in Building Energy Analysis

Author :

Frédéric Magoules

Publisher:

Wiley

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Publisher

Wiley

Publication Year 2016
ISBN-13

9781848214224

ISBN-10 9781848214224
Binding

Hardcover

Number of Pages 186 Pages
Language (English)
Dimensions (Cms) 16.26 x 1.52 x 24.13
Weight (grms) 420
Subject

Databases & Big Data

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.

Frédéric Magoules

Frédéric Magoulès is Professor at the Ecole Centrale Paris in France and Honorary Professor at the University of Pècs in Hungary. His research focuses on parallel computing, numerical linear algebra and machine learning.
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