Field validation study of a time and temperature indexed autoregressive with exogenous (ARX) model for building thermal load prediction

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• 作者：Riasat Sarwar ; Heejin Cho ; ^{cho@me.msstate.edu} ; Sam J. Cox ; Pedro J. Mago ; Rogelio Luck
• 关键词：Thermal load prediction ; Autoregressive with exogenous (ARX) model ; Field measurements ; Validation ; Uncertainty analysis
• 刊名：Energy
• 出版年：2017
• 出版时间：15 January 2017
• 年：2017
• 卷：119
• 期：Complete
• 页码：483-496
• 全文大小：1548 K
• 卷排序：119

文摘

We present a field validation study of an autoregressive with exogenous (ARX) model. The validation study was carried out using field data from actual buildings. The proposed model was able to predict hourly thermal load accurately. Proper indexing allowed to capture different cooling and heating load profiles.