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 | |
| Publication status | Published - 2016 Jun 1 |
| Event | Applied Energy Symposium and Summit on Low-Carbon Cities and Urban Energy Systems, CUE 2015 - Fuzhou, China Duration: 2015 Nov 15 → 2015 Nov 17 |
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All Science Journal Classification (ASJC) codes
- Energy(all)
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Framework for approaching the minimum CV(RMSE) using energy simulation and optimization tool. / Hong, Taehoon; Kim, Chan Joong; Jeong, Jaemin; Kim, Jimin; Koo, Choongwan; Jeong, Kwangbok; Lee, Minhyun.
In: Energy Procedia, Vol. 88, 01.06.2016, p. 265-270.Research output: Contribution to journal › Conference article
TY - JOUR
T1 - Framework for approaching the minimum CV(RMSE) using energy simulation and optimization tool
AU - Hong, Taehoon
AU - Kim, Chan Joong
AU - Jeong, Jaemin
AU - Kim, Jimin
AU - Koo, Choongwan
AU - Jeong, Kwangbok
AU - Lee, Minhyun
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.
UR - http://www.scopus.com/inward/record.url?scp=85007524661&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85007524661&partnerID=8YFLogxK
U2 - 10.1016/j.egypro.2016.06.157
DO - 10.1016/j.egypro.2016.06.157
M3 - Conference article
AN - SCOPUS:85007524661
VL - 88
SP - 265
EP - 270
JO - Energy Procedia
JF - Energy Procedia
SN - 1876-6102
ER -