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Data Mining and Machine Learning in Building Energy Analysis (Hardcover) (Frederic Magoules & Hai-xiang

Data Mining and Machine Learning in Building Energy Analysis (Hardcover) (Frederic Magoules & Hai-xiang - image 1 of 1

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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.
Number of Pages: 164.0
Genre: Computers + Internet, Architecture
Sub-Genre: Database Management / Data Mining
Series Title: Computer Engineering
Format: Hardcover
Publisher: John Wiley & Sons Inc
Author: Frederic Magoules & Hai-xiang Zhao
Language: English
Street Date: February 8, 2016
TCIN: 50989246
UPC: 9781848214224
Item Number (DPCI): 248-13-4794

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