Data Mining and Machine Learning in Building Energy Analysis

Abstract : 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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https://hal.archives-ouvertes.fr/hal-01273908
Contributor : Guillaume Gbikpi-Benissan <>
Submitted on : Sunday, February 14, 2016 - 10:07:07 PM
Last modification on : Friday, December 21, 2018 - 10:48:03 AM

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F. Magoules, H.-X. Zhao. Data Mining and Machine Learning in Building Energy Analysis. Wiley-ISTE, pp.186, 2016, Computer Engineering Series, ⟨10.1002/9781118577691 ⟩. ⟨hal-01273908⟩

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