Evaluation of a multiple linear regression model and SARIMA model in forecasting heat demand for district heating system
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- 作者：Tingting Fang ; tingting.fang@aalto.fi" class="auth_mail" title="E-mail the corresponding author ; tingting.fang@yahoo.com" class="auth_mail" title="E-mail the corresponding author ; Risto Lahdelma risto.lahdelma@aalto.fi" class="auth_mail" title="E-mail the corresponding author
- 关键词：District heating ; Heat demand forecasting ; Linear regression ; SARIMA ; Least squares
- 刊名：Applied Energy
- 出版年：2016
- 出版时间：1 October 2016
- 年：2016
- 卷：179
- 期：Complete
- 页码：544-552
- 全文大小：453 K
文摘
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Social factor is considered for the linear regression models besides weather file.
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Simultaneously optimize all the coefficients for linear regression models.
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SARIMA combined with linear regression is used to forecast the heat demand.
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The accuracy for both linear regression and time series models are evaluated.