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...

詳細記述

書誌詳細

出版年:	Energies
主要な著者:	Alberto Barbaresi, Mattia Ceccarelli, Giulia Menichetti, Daniele Torreggiani, Patrizia Tassinari, Marco Bovo
フォーマット:	論文
言語:	英語
出版事項:	MDPI AG 2022-02-01
主題:	machine learning building energy simulation optimisation algorithms building energy saving solutions
オンライン･アクセス:	https://www.mdpi.com/1996-1073/15/4/1266