Sample data selection method for improving the prediction accuracy of the heating energy consumption-Reference-Cited by-同舟云学术

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Sample data selection method for improving the prediction accuracy of the heating energy consumption

Published:2018-01 Issue: Volume:158 Page:234-243
ISSN:0378-7788
Container-title:Energy and Buildings
language:en
Short-container-title:Energy and Buildings

Author:

Yuan Tianhao,Zhu Neng,Shi Yunfei,Chang Chen,Yang Kun,Ding Yan

Funder

Program of National Science and Technology of China

Publisher

Elsevier BV

Subject

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

Reference48 articles.

1. Energy Balances of Non-OECD Countries;IEA,2013

2. China's energy consumption in the building sector: a life cycle approach;Zhang;Energy Build.,2015

3. Urban residential heating in hot summer and cold winter zones of China-Status, modeling, and scenarios to 2030;Hu;Energy Policy,2016

4. Energy demand for space heating through a statistical approach: application to residential buildings;Caldera;Energy Build.,2008

5. Multiple regression model for fast prediction of the heating energy demand;Catalina;Energy Build.,2013

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