Work

A review of data-driven approaches for prediction and classification of building energy consumption

Year: 2017

Type: article

Source: Renewable and Sustainable Energy Reviews

DOI: 10.1016/j.rser.2017.09.108

Authors: Yixuan Wei, Xingxing Zhang, Yong Shi, Liang Xia, Song Pan, Jinshun Wu, Mengjie Han, Xiaoyun Zhao

Institutions: University of Nottingham Ningbo China, Dalarna University, Beijing University of Technology, North China Institute of Science and Technology

Language: English

Topic: Building Energy and Comfort Optimization

Subfield: Building and Construction

Field: Engineering

Domain: Physical Sciences

SDGs: Climate action, Affordable and clean energy, Sustainable cities and communities, Industry, innovation and infrastructure

Open Access status: closed

Funders: National Natural Science Foundation of China, Fundamental Research Funds for the Central Universities

Awards: G3872563684, G7631272719, G8435919558

OpenAlex ID: W2761146210

FWCI: 53.4

Cites: 110

Cited by: 867

Related to: 10