Research Article
The Short-Term Load Forecasting for Special Days Based on Bagged Regression Trees in Qingdao, China
Figure 9
(a) Load profiles for 4 weeks including Chinese National Day Holiday (October 1–7), two weeks in which the load is affected (September 26–30 and October 1–7), and two normal weeks (September 19–25 and October 10–16), observed in 2016. (b) Load profiles for 4 weeks including Chinese National Day Holiday (October 1–8), a working day (September 29), two weeks affected (September 25–29), and two normal weeks, observed in 2017. The black curves represent the hourly load, and the red curves represent daily average load.
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