Towards developing a systematic knowledge trend for building energy consumption prediction  Citation formats

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Towards developing a systematic knowledge trend for building energy consumption prediction  . / Qiao, Qingyao; Yunusa-Kaltungo, Akilu; Edwards, Rodger.

In: Journal of Building Engineering, 05.11.2020.

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@article{3a7b393290e946899a5273d2b4d06046,
title = "Towards developing a systematic knowledge trend for building energy consumption prediction  ",
abstract = "The rapid depletion of natural sources of energy, coupled with increasing globalpopulation has triggered the emergence of various techniques and strategies forbuilding energy consumption prediction. According to information from existing body of knowledge, this paper systematically brings to fore the application areas of building energy consumption prediction (i.e. well-established and emerging), the relationships between these areas and the ways in which authors integrate the current spate of techniques. Based on direct implications of buildings on global energy consumption and CO2 emissions, this information makes it possible to identify trends, strengths and limitations in this context, thereby enabling the centralisation of activities required for future studies. This study follows several well-documented guides for conducting logical reviews of primary articles concerning main topics of building energy consumption prediction within popular online databases. The definition of articles{\textquoteright} search keywords as well as inclusion/exemption factors were governed by acombination of principles stipulated by Preferred Reporting Items for SystematicReviews and Meta-Analyses (PRISMA) and Procedures for Performing SystematicReviews (PPSR). In comparison to existing review articles in the studied field, thecurrent study is novel in the sense that it provides a very holistic view to buildingenergy consumption prediction, thereby minimising the need to consult multipleindividualised studies that are limited to specific techniques, data sets, regions or types of buildings. Another unique feature of this study is its interrelationship network of articles which depicts a quick glance at some of the most influential studies as well as underrepresented areas, thereby aiding research planning, future directions and cross-disciplinary collaborations.",
keywords = "Building energy, energy consumption, prediction, sustainability, systematic and meta-analysis",
author = "Qingyao Qiao and Akilu Yunusa-Kaltungo and Rodger Edwards",
year = "2020",
month = nov,
day = "5",
doi = "https://doi.org/10.1016/j.jobe.2020.101967",
language = "English",
journal = "Journal of Building Engineering",
issn = "2352-7102",
publisher = "Elsevier BV",

}

RIS

TY - JOUR

T1 - Towards developing a systematic knowledge trend for building energy consumption prediction  

AU - Qiao, Qingyao

AU - Yunusa-Kaltungo, Akilu

AU - Edwards, Rodger

PY - 2020/11/5

Y1 - 2020/11/5

N2 - The rapid depletion of natural sources of energy, coupled with increasing globalpopulation has triggered the emergence of various techniques and strategies forbuilding energy consumption prediction. According to information from existing body of knowledge, this paper systematically brings to fore the application areas of building energy consumption prediction (i.e. well-established and emerging), the relationships between these areas and the ways in which authors integrate the current spate of techniques. Based on direct implications of buildings on global energy consumption and CO2 emissions, this information makes it possible to identify trends, strengths and limitations in this context, thereby enabling the centralisation of activities required for future studies. This study follows several well-documented guides for conducting logical reviews of primary articles concerning main topics of building energy consumption prediction within popular online databases. The definition of articles’ search keywords as well as inclusion/exemption factors were governed by acombination of principles stipulated by Preferred Reporting Items for SystematicReviews and Meta-Analyses (PRISMA) and Procedures for Performing SystematicReviews (PPSR). In comparison to existing review articles in the studied field, thecurrent study is novel in the sense that it provides a very holistic view to buildingenergy consumption prediction, thereby minimising the need to consult multipleindividualised studies that are limited to specific techniques, data sets, regions or types of buildings. Another unique feature of this study is its interrelationship network of articles which depicts a quick glance at some of the most influential studies as well as underrepresented areas, thereby aiding research planning, future directions and cross-disciplinary collaborations.

AB - The rapid depletion of natural sources of energy, coupled with increasing globalpopulation has triggered the emergence of various techniques and strategies forbuilding energy consumption prediction. According to information from existing body of knowledge, this paper systematically brings to fore the application areas of building energy consumption prediction (i.e. well-established and emerging), the relationships between these areas and the ways in which authors integrate the current spate of techniques. Based on direct implications of buildings on global energy consumption and CO2 emissions, this information makes it possible to identify trends, strengths and limitations in this context, thereby enabling the centralisation of activities required for future studies. This study follows several well-documented guides for conducting logical reviews of primary articles concerning main topics of building energy consumption prediction within popular online databases. The definition of articles’ search keywords as well as inclusion/exemption factors were governed by acombination of principles stipulated by Preferred Reporting Items for SystematicReviews and Meta-Analyses (PRISMA) and Procedures for Performing SystematicReviews (PPSR). In comparison to existing review articles in the studied field, thecurrent study is novel in the sense that it provides a very holistic view to buildingenergy consumption prediction, thereby minimising the need to consult multipleindividualised studies that are limited to specific techniques, data sets, regions or types of buildings. Another unique feature of this study is its interrelationship network of articles which depicts a quick glance at some of the most influential studies as well as underrepresented areas, thereby aiding research planning, future directions and cross-disciplinary collaborations.

KW - Building energy

KW - energy consumption

KW - prediction

KW - sustainability

KW - systematic and meta-analysis

U2 - https://doi.org/10.1016/j.jobe.2020.101967

DO - https://doi.org/10.1016/j.jobe.2020.101967

M3 - Review article

JO - Journal of Building Engineering

JF - Journal of Building Engineering

SN - 2352-7102

ER -