Deep learning-based feature engineering methods for improved building energy prediction-Reference-Cited by-同舟云学术

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Deep learning-based feature engineering methods for improved building energy prediction

Published:2019-04 Issue: Volume:240 Page:35-45
ISSN:0306-2619
Container-title:Applied Energy
language:en
Short-container-title:Applied Energy

Author:

Fan Cheng,Sun Yongjun^ORCID,Zhao Yang,Song Mengjie,Wang Jiayuan

Funder

Natural Science Foundation of SZU

Natural Science Foundation of Guangdong Province

National Natural Science Foundation of China

Publisher

Elsevier BV

Subject

Management, Monitoring, Policy and Law,Mechanical Engineering,General Energy,Building and Construction

Reference56 articles.

1. Life cycle energy analysis of buildings: An overview;Ramesh;Energy Build,2010

2. Assessing the energy efficiency improvement potentials of HVAC systems considering economic and environmental aspects at the hospitals;Teke;Renew Sustain Energy Rev,2014

3. A short-term building cooling load prediction method using deep learning algorithms;Fan;Appl Energy,2017

4. A novel ensemble learning approach to support building energy use prediction;Wang;Energy Build,2018

5. Making sense of building data: New analysis methods for understanding indoor climate;Geronazzo;Build Environ,2018

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