Power load forecasting research based on neural network and Holt-winters method
نویسندگان
چکیده
منابع مشابه
forecasting price of egg with holt-winters smoothing, box-jenkins (arima) and artificial neural network (ann)
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We propose new versions of Holt-Winters (HW) and seasonal Holt-Winters (SHW) time series forecasting algorithms. The exponential smoothing construct is identical to HW/SHW, except that the coefficients are estimated by minimizing a given quantile error criterion, instead of the usual squared errors. We call these versions quantile HW/SHW (QHW/QSHW), which amounts to performing HW/SHW under an a...
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The Wavelet Neural Network (WNN) is widely used in power load forecasting. In view that the traditional WNN easily falls into the local minimum and has unstable forecast results, a new power load forecasting model of combining the AdaBoost algorithm with WNN was put forward to improve the forecasting accuracy and generalization ability. Firstly, the method performed the pre-treatment for the hi...
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ژورنال
عنوان ژورنال: IOP Conference Series: Earth and Environmental Science
سال: 2021
ISSN: 1755-1307,1755-1315
DOI: 10.1088/1755-1315/692/2/022120