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Load forecasting is crucial to schedule energy in advance with meeting the load demand of users. This study proposes a hybrid model in which the multiple linear regression (MLR) and the autoregressive integrated moving average (ARIMA) method are used to perform load forecasting. The proposed method enhances the forecasting accuracy by emphasizing more on the previous forecasting results that have...
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