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Forecasting the Demand of Short Term Electric Power Load with Large Scale LP SVR

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Figure

Table 1. Variables used for prediction.
Figure 1. Framework to build regression models for power load prediction. Blocks on the left indicate the input vari- ables, i.e., attributes used to build the regression models
Table 2 shows quantitative prediction errors using the metrics explained above: MAPE, MAE, DPM, NE, RMSE, and NRMSE
Figure 6. Average error by hour of day. Note the error proportional difference in early morning hours and after- noon hours
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