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Energy Informatics
Fig. 6 | Energy Informatics

Fig. 6

From: Adequacy of neural networks for wide-scale day-ahead load forecasts on buildings and distribution systems using smart meter data

Fig. 6

RMSE (p.u.) predicting a sample of 444 single homes day by day between September and December. Median error (red horizontal line), mean error (red cross), 95% confidence interval (notch), IQR and outliers (red circles) are denoted with box-plots. Estimated distribution is represented using violin plots (Hintze and Nelson 1998). While the error is approximately normally distributed among the households, no network architecture was significantly more accurate on average than the SLP forecast (red dashed line)

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