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Daily power load forecasting is an essential function in electrical power system operation and planning. The accuracy peak power load forecasting can ensure secure operation of the electric utility grid and have the least cost. Therefore, a good deal of forecasting methods have been proposed and studied in this domain. In this paper, Autoregressive Integrated Moving Average (ARIMA) model is developed...
Short-term load forecasting has been viewed as an important problem for its wide application. Grey forecasting model is tested by using electric load data sampled from SA for short-term load forecasting in this paper. Then by regarding the electric load residual series obtained from grey forecasting model as the original data, the grey forecasting model and the support vector machine (SVM) are applied...
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