Dual estimation: Constructing building energy models from data sampled at low rate
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- 作者：Simone Baldia ; s.baldi@tudelft.nl" class="auth_mail" title="E-mail the corresponding author ; Shuai Yuana ; s.yuan-1@tudelft.nl" class="auth_mail" title="E-mail the corresponding author ; Petr Endelb ; Petr.Endel@Honeywell.com" class="auth_mail" title="E-mail the corresponding author ; Ondrej Holubb ; Ondrej.Holub@Honeywell.com" class="auth_mail" title="E-mail the corresponding author
- 关键词：Dual estimation ; Building energy model ; Low sampling rate
- 刊名：Applied Energy
- 出版年：2016
- 出版时间：1 May 2016
- 年：2016
- 卷：169
- 期：Complete
- 页码：81-92
- 全文大小：1329 K
文摘
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Estimation of equation-based energy models from data.
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Unmeasured states and parameters of building energy models are jointly estimated.
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Implicit discretization method to cope with the low sampling rate of data.
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Observability analysis of the equation-based building energy model.
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Validation using historical data from a real-life building.