Data Mining and Machine Learning in Building Energy Analysis: Towards High Performance Computing

Ebook Details


Frédéric Magoules, Hai-Xiang Zhao

Year 2016
Pages 186
Publisher Wiley-ISTE
Language en
ISBN 9781848214224
File Size 2.28 MB
File Format PDF
Download Counter 1,468
Amazon Link

Ebook Description

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.