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Data Mining and Machine Learning in Building Energy Analysis
book

Data Mining and Machine Learning in Building Energy Analysis

by Frédéric Magoules, Hai-Xiang Zhao
February 2016
Intermediate to advanced
186 pages
4h 52m
English
Wiley-ISTE

Overview

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.
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Publisher Resources

ISBN: 9781848214224Purchase book