Nghiên cứu so sánh các phương pháp dự báo phụ tải ngắn hạn trong lưới điện phân phối

(Bản scan) In Figure 9, the solid line shows the load values, the dashed - dot line indicates the forecasted values by using ARIMA model and the dashed line indicates the forecasted values by using neural network. In this figure, the forecasted values by using neural network are closer to the load values than the forecasted values by using ARIMA model. This demonstrates the effectiveness of neural network in short-term load forecasting in this case.