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

Research output: Contribution to journalConference article

3 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 languageEnglish
Pages (from-to)265-270
Number of pages6
JournalEnergy Procedia
Volume88
DOIs
Publication statusPublished - 2016 Jun 1
EventApplied Energy Symposium and Summit on Low-Carbon Cities and Urban Energy Systems, CUE 2015 - Fuzhou, China
Duration: 2015 Nov 152015 Nov 17

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Mean square error
Global warming
Reliability analysis
Multiobjective optimization
Energy utilization

All Science Journal Classification (ASJC) codes

  • Energy(all)

Cite this

Hong, Taehoon ; Kim, Chan Joong ; Jeong, Jaemin ; Kim, Jimin ; Koo, Choongwan ; Jeong, Kwangbok ; Lee, Minhyun. / Framework for approaching the minimum CV(RMSE) using energy simulation and optimization tool. In: Energy Procedia. 2016 ; Vol. 88. pp. 265-270.
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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 journalConference article

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AU - Lee, Minhyun

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