4. RESULTS

In this section, the performance of the Gaussian and Gamma distributions are analyzed alongside the Root Transform Local Linear Regression method and two Kernel Density models with 2 different bandwidths. First, electric load data from a commercial enterprise site with single-tariff is fit with the models and the models are assessed. We, then, repeat the analysis of electric load data from all 2446 enterprise and residential locations.
Fig. \ref{998686} shows the histograms for both train and test electric load datasets fit with all 5 models. Visually the RTLLR model seems to fit the data best followed by the two KDE models & then parametric distributions. This finding is also supported by the results in Tables \ref{tab:train} and \ref{tab:test} where the following observations can be made: