Investigating the performance of machine learning models combined with different feature selection methods to estimate the energy consumption of buildings-Reference-Cited by-同舟云学术

Investigating the performance of machine learning models combined with different feature selection methods to estimate the energy consumption of buildings

Published:2022-10 Issue: Volume:273 Page:112408
ISSN:0378-7788
Container-title:Energy and Buildings
language:en
Short-container-title:Energy and Buildings

Author:

Liu Xue,Tang Hao,Ding Yong,Yan Da

Funder

Natural Science Foundation of Beijing Municipality

Norges Forskningsråd

National Research Council Canada

Ministry of Science and Technology of the People's Republic of China

Publisher

Elsevier BV

Subject

Electrical and Electronic Engineering,Mechanical Engineering,Building and Construction,Civil and Structural Engineering

Reference49 articles.

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3. Estimating energy savings from benchmarking policies in New York City;Meng;Energy.,2017

4. DUE-B : Data-driven urban energy benchmarking of buildings using recursive partitioning and stochastic frontier analysis;Yang;Energy Build.,2018

5. IEA EBC annex 53: Total energy use in buildings—Analysis and evaluation methods;Yoshino;Energy Build.,2017

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