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

✍ Scribed by Frédéric Magoules, Hai-Xiang Zhao

Publisher: Wiley-ISTE
Year: 2016
Tongue: English
Leaves: 187
Series: Iste
Edition: 1
Category: Library

No coin nor oath required. For personal study only.

✦ Synopsis

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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