With these discrepancies noted, the training technologies correspond to the timescales shown for Cathode Ray Tubes (CRT), nuclear power, solar photovoltaics, wind electricity, mobile phones, thin film transistor liquid crystal displays (TFT-LCD), and Compact Fluorescent Light bulbs (CFLs) provided in Fig. \ref{176117}. Having specified the training technology profiles to use, the MATLAB script (provided in Appendix XX) then smooths both training and test time series based on a three-year moving average, and normalises the amplitude as per the original study, as shown in Fig. \ref{456301} and Fig. \ref{879179}.