Model input selection for building heating load prediction: A case study for an office building in Tianjin-Reference-Cited by-同舟云学术

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Model input selection for building heating load prediction: A case study for an office building in Tianjin

Published:2018-01 Issue: Volume:159 Page:254-270
ISSN:0378-7788
Container-title:Energy and Buildings
language:en
Short-container-title:Energy and Buildings

Author:

Ding Yan,Zhang Qiang,Yuan Tianhao,Yang Kun

Funder

National Key R&D Program of China during the Thirteenth Five-year Plan

National Nature Science Foundation of China

Publisher

Elsevier BV

Subject

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

Reference42 articles.

1. A hybrid decision support system for sustainable office building renovation and energy performance improvement;Juan;Energy Build.,2010

2. A study on energy performance of 30 commercial office buildings in Hong Kong;Jing;Energy Build.,2017

3. The characteristics and prediction algorithm of office building cooling and heating load in Tianjin, Master;Xin,2013

4. Simplified dynamic neural network model to predict heating load of a building using Taguchi method;Sholahudin;Energy,2016

5. Input variable selection for thermal load predictive models of commercial buildings;Kapetanakis;Energy Build.,2017

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