Day-ahead hourly electricity load modeling by functional regression
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- 作者：Yonghan Fenga ; yhfeng.isu@gmail.com" class="auth_mail" title="E-mail the corresponding author ; Sarah M. Ryanb ; smryan@iastate.edu" class="auth_mail" title="E-mail the corresponding author
- 关键词：Short-term load model ; Forecasting ; Day-ahead scenario ; Epi-splines
- 刊名：Applied Energy
- 出版年：2016
- 出版时间：15 May 2016
- 年：2016
- 卷：170
- 期：Complete
- 页码：455-465
- 全文大小：1041 K
文摘
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A new hourly electricity load model is developed by considering weather and temporal dependence.
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225">Functional approximation is applied to model the complex nonlinear relationships between load and independent variables.
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Resulting forecast is less biased and more precise than regression-based forecasts.
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