Short-term Wind Forcasting and Its Impact on the Mix-mode Operated Buildings

نویسندگان

  • Bing Dong
  • Xiaoqian Jiang
چکیده

In this paper, we developed a new method to forecast 10minutes ahead wind speed based on Heteroscdastic Gaussian Process and investigated the impacts of this predicting on a mix-mode operated building. The forecasting result shows the mean absolute percentage error (MAPE) of 9.2%. The indoor air temperature, infiltration air change rate and cooling energy consumption varied 25% in average compared with the baseline model where the wind speed is not from forecasting.

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تاریخ انتشار 2011