Data Mining and Machine Learning in Building Energy Analysis

Nonfiction, Computers, General Computing
Cover of the book Data Mining and Machine Learning in Building Energy Analysis by Frédéric Magoules, Hai-Xiang Zhao, Wiley
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Author: Frédéric Magoules, Hai-Xiang Zhao ISBN: 9781118577592
Publisher: Wiley Publication: January 5, 2016
Imprint: Wiley-ISTE Language: English
Author: Frédéric Magoules, Hai-Xiang Zhao
ISBN: 9781118577592
Publisher: Wiley
Publication: January 5, 2016
Imprint: Wiley-ISTE
Language: English

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.

View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart

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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