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Smart distribution network gathers massive load data with SCADA system. Bus load forecasting needs to increase the process speed while assuring the forecasting accuracy, to meet the real-time requirements. This paper proposed a fast bus load forecasting method for smart distribution system. This method utilizes the historical load and temperature data to establish a forecasting model, which derived the reference load data of the forecasting day. With temperature data of the forecasting day and the historical data, it is deduced the load correction of the forecasting day to realize online load forecasting, which increases the forecasting speed. By the instance analysis, the speediness and accuracy of the proposed method is verified.

Fast Bus Load Forecasting for Smart Distribution System