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.
|Number of pages||6|
|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
Bibliographical noteFunding 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).
© 2016 Published by Elsevier Ltd.
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