Application of Machine Learning Models for Fast and Accurate Predictions of Building Energy Need

Application of Machine Learning Models for Fast and Accurate Predictions of Building Energy Need

Accurate prediction of building energy need plays a fundamental role in building design, despite the high computational cost to search for optimal energy saving solutions. An important advancement in the reduction of computational time could come from the application of machine learning models to ci...

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Bibliographic Details
Main Authors: Alberto Barbaresi, Mattia Ceccarelli, Giulia Menichetti, Daniele Torreggiani, Patrizia Tassinari, Marco Bovo
Format: Article
Language:English
Published: MDPI AG 2022-02-01
Series:Energies
Subjects:
machine learning
building energy simulation
optimisation algorithms
building energy saving solutions
Online Access:https://www.mdpi.com/1996-1073/15/4/1266

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https://www.mdpi.com/1996-1073/15/4/1266

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