% Abbreviations for technical terms.
\newglossaryentry{cart}{
    name=CART, description={Classification and Regression Trees}
}
\newglossaryentry{cv}{
    name=CV, description={Cross Validation}
}
\newglossaryentry{mase}{
    name=MASE, description={Mean Absolute Scaled Error}
}
\newglossaryentry{ml}{
    name=ML, description={Machine Learning}
}
\newglossaryentry{rf}{
    name=RF,  description={Random Forest}
}
\newglossaryentry{stl}{
    name=STL, description={Seasonal and Trend Decomposition using Loess}
}
\newglossaryentry{svm}{
    name=SVM, description={Support Vector Machine}
}
\newglossaryentry{svr}{
    name=SVR, description={Support Vector Regression}
}
\newglossaryentry{udp}{
    name=UDP, description={Urban Delivery Platform}
}
\newglossaryentry{vrp}{
    name=VRP, description={Vehicle Routing Problem}
}

% Model names.
\newglossaryentry{naive}{
    name=naive, description={(Seasonal) Na\"{i}ve Method}
}
\newglossaryentry{fnaive}{
    name=fnaive, description={"Flexible" STL Decomposition,
                              with tuned ns parameter}
}
\newglossaryentry{pnaive}{
    name=pnaive, description={"Periodic" STL Decomposition,
                              with ns parameter set to large number}
}
\newglossaryentry{trivial}{
    name=trivial, description={Trivial Method}
}
\newglossaryentry{hcroston}{
    name=hcroston, description={Croston's Method,
                                trained on horizontal time series}
}
\newglossaryentry{hholt}{
    name=hholt, description={Holt's Linear Trend Method,
                             trained on horizontal time series}
}
\newglossaryentry{vholt}{
    name=vholt, description={Holt's Linear Trend Method,
                             trained on vertical time series}
}
\newglossaryentry{rtholt}{
    name=rtholt, description={Holt's Linear Trend Method,
                              (re)trained on vertical time series}
}
\newglossaryentry{hhwinters}{
    name=hhwinters, description={Holt-Winter's Seasonal Method,
                                 trained on horizontal time series}
}
\newglossaryentry{hses}{
    name=hses, description={Simple Exponential Smoothing Method,
                            trained on horizontal time series}
}
\newglossaryentry{vses}{
    name=vses, description={Simple Exponential Smoothing Method,
                            trained on vertical time series}
}
\newglossaryentry{rtses}{
    name=rtses, description={Simple Exponential Smoothing Method,
                             (re)trained on vertical time series}
}
\newglossaryentry{hsma}{
    name=hsma, description={Simple Moving Average Method,
                            trained on horizontal time series}
}
\newglossaryentry{htheta}{
    name=htheta, description={Theta Method,
                              trained on horizontal time series}
}
\newglossaryentry{vtheta}{
    name=vtheta, description={Theta Method,
                              trained on vertical time series}
}
\newglossaryentry{rttheta}{
    name=rttheta, description={Theta Method,
                               (re)trained on vertical time series}
}
\newglossaryentry{hets}{
    name=hets, description={ETS State Space Method,
                            trained on horizontal time series}
}
\newglossaryentry{vets}{
    name=vets, description={ETS State Space Method,
                            trained on vertical time series}
}
\newglossaryentry{rtets}{
    name=rtets, description={ETS State Space Method,
                             (re)trained on vertical time series}
}
\newglossaryentry{harima}{
    name=harima, description={Autoregressive Integrated Moving Average
                              Method,
                              trained on horizontal time series}
}
\newglossaryentry{varima}{
    name=varima, description={Autoregressive Integrated Moving Average
                              Method,
                              trained on vertical time series}
}
\newglossaryentry{rtarima}{
    name=rtarima, description={Autoregressive Integrated Moving Average
                               Method,
                               (re)trained on vertical time series}
}
\newglossaryentry{vrfr}{
    name=vrfr, description={Random Forest Regression Method,
                            trained on vertical time series}
}
\newglossaryentry{vsvr}{
    name=vsvr, description={Support Vector Regression Method,
                            trained on vertical time series}
}

\printglossaries