Framework for approaching the minimum CV(RMSE) using energy simulation and optimization tool

Taehoon Hong; Chan Joong Kim; Jaemin Jeong; Jimin Kim; Choongwan Koo; Kwangbok Jeong; Minhyun Lee

doi:10.1016/j.egypro.2016.06.157

Framework for approaching the minimum CV(RMSE) using energy simulation and optimization tool

Taehoon Hong
, Chan Joong Kim
, Jaemin Jeong
, Jimin Kim
, Choongwan Koo
, Kwangbok Jeong
, Minhyun Lee

The Hong Kong Polytechnic University

Research output: Journal article publication › Conference article › Academic research › peer-review

24 Citations (Scopus)

Abstract

Global warming has become one of the most significant environmental issues. To solve this problem, baseline model has been created by energy simulation to determine the future energy consumption. Meanwhile, reliability analysis needs to conduct between baseline model and existing building. This study aims to develop the minimum coefficient of variance of the root mean square error (CV(RMSE)) framework to improve the reliability of baseline model. The baseline model is considered to be accurate as the CV(RMSE) gets closer to 0%. As a follow-up research, the minimum CV(RMSE) will be used to develop the baseline model by conducting multi-objective optimization.

Original language	English
Pages (from-to)	265-270
Number of pages	6
Journal	Energy Procedia
Volume	88
DOIs	https://doi.org/10.1016/j.egypro.2016.06.157
Publication status	Published - 1 Jun 2016
Event	Applied Energy Symposium and Summit on Low-Carbon Cities and Urban Energy Systems, CUE 2015 - Fuzhou, China Duration: 15 Nov 2015 → 17 Nov 2015

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 7 Affordable and Clean Energy

Keywords

Baseline model
CV(RMSE)
Energy simulation
Optimization tool

ASJC Scopus subject areas

General Energy

More information

10.1016/j.egypro.2016.06.157

Cite this

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title = "Framework for approaching the minimum CV(RMSE) using energy simulation and optimization tool",

abstract = "Global warming has become one of the most significant environmental issues. To solve this problem, baseline model has been created by energy simulation to determine the future energy consumption. Meanwhile, reliability analysis needs to conduct between baseline model and existing building. This study aims to develop the minimum coefficient of variance of the root mean square error (CV(RMSE)) framework to improve the reliability of baseline model. The baseline model is considered to be accurate as the CV(RMSE) gets closer to 0\%. As a follow-up research, the minimum CV(RMSE) will be used to develop the baseline model by conducting multi-objective optimization.",

keywords = "Baseline model, CV(RMSE), Energy simulation, Optimization tool",

author = "Taehoon Hong and Kim, \{Chan Joong\} and Jaemin Jeong and Jimin Kim and Choongwan Koo and Kwangbok Jeong and Minhyun Lee",

note = "Funding Information: This work was supported by the National Research Foundation of Korea (NRF) grant funded by the Korea government (MSIP; Ministry of Science, ICT \& Future Planning) (No.NRF-2015R1A2A1A05001657). Publisher Copyright: {\textcopyright} 2016 Published by Elsevier Ltd.; Applied Energy Symposium and Summit on Low-Carbon Cities and Urban Energy Systems, CUE 2015 ; Conference date: 15-11-2015 Through 17-11-2015",

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doi = "10.1016/j.egypro.2016.06.157",

language = "English",

volume = "88",

pages = "265--270",

journal = "Energy Procedia",

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AU - Hong, Taehoon

AU - Kim, Chan Joong

AU - Jeong, Jaemin

AU - Kim, Jimin

AU - Koo, Choongwan

AU - Jeong, Kwangbok

AU - Lee, Minhyun

N1 - Funding Information: This work was supported by the National Research Foundation of Korea (NRF) grant funded by the Korea government (MSIP; Ministry of Science, ICT & Future Planning) (No.NRF-2015R1A2A1A05001657). Publisher Copyright: © 2016 Published by Elsevier Ltd.

PY - 2016/6/1

Y1 - 2016/6/1

N2 - Global warming has become one of the most significant environmental issues. To solve this problem, baseline model has been created by energy simulation to determine the future energy consumption. Meanwhile, reliability analysis needs to conduct between baseline model and existing building. This study aims to develop the minimum coefficient of variance of the root mean square error (CV(RMSE)) framework to improve the reliability of baseline model. The baseline model is considered to be accurate as the CV(RMSE) gets closer to 0%. As a follow-up research, the minimum CV(RMSE) will be used to develop the baseline model by conducting multi-objective optimization.

AB - Global warming has become one of the most significant environmental issues. To solve this problem, baseline model has been created by energy simulation to determine the future energy consumption. Meanwhile, reliability analysis needs to conduct between baseline model and existing building. This study aims to develop the minimum coefficient of variance of the root mean square error (CV(RMSE)) framework to improve the reliability of baseline model. The baseline model is considered to be accurate as the CV(RMSE) gets closer to 0%. As a follow-up research, the minimum CV(RMSE) will be used to develop the baseline model by conducting multi-objective optimization.

KW - Baseline model

KW - CV(RMSE)

KW - Energy simulation

KW - Optimization tool

UR - https://www.scopus.com/pages/publications/85007524661

U2 - 10.1016/j.egypro.2016.06.157

DO - 10.1016/j.egypro.2016.06.157

M3 - Conference article

AN - SCOPUS:85007524661

SN - 1876-6102

VL - 88

SP - 265

EP - 270

JO - Energy Procedia

JF - Energy Procedia

T2 - Applied Energy Symposium and Summit on Low-Carbon Cities and Urban Energy Systems, CUE 2015

Y2 - 15 November 2015 through 17 November 2015

ER -

Framework for approaching the minimum CV(RMSE) using energy simulation and optimization tool

Abstract

UN SDGs

Keywords

ASJC Scopus subject areas

More information

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