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\title{Delivering consumer insights at a state-owned electricity gentailer.}
\subtitle{Data science process in WA’s electricity sector}
\date{October 2022}
\author{Frederik Vanrenterghem}
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\begin{document}
  \maketitle
  \section{Our teams}
  \begin{frame}{Analytic delivery model at the organisation}
    \begin{columns}
      \begin{column}{0.5\textwidth}
        \begin{itemize}
        \item Managerial reporting decentralised in all business units
        \item Platform and BI expertise in corporate shared services
        \item Advanced analytics centralized in operational business unit
        \end{itemize}
      \end{column}
      \begin{column}{0.5\textwidth}  %%<--- here
        \begin{center}
          \includegraphics[width=1\textwidth]{working.png}
        \end{center}
      \end{column}
    \end{columns}
  \end{frame}
  \begin{frame}{Customer Business Unit’s data science stars}
    (names and photos omitted from this version)
  \end{frame}
  \section{Using data science for energy management}
  \begin{frame}{Solar creates incentives to shift consumption in time}
    \begin{columns}
      \begin{column}{0.6\textwidth}
        \small About 40\% of WA households have solar panels, at times reducing day-time net demand on the network to such low levels that can result in system disruptions.
        \begin{center}
          \includegraphics[width=1\textwidth]{min-load-graph.png}
        \end{center}
      \end{column}
       \begin{column}{0.4\textwidth}
         \begin{center}
          \includegraphics[width=.8\textwidth]{meter-selfread.jpg}
        \end{center}
         \small Given the costs to supply electricity and source it from households, consumers are best off utilising as much of their own generated power as they can through shifting load.
      \end{column}
    \end{columns}
  \end{frame}
  \begin{frame}{Our objective – help customers shift load to save}
    \includegraphics[width=.9\textwidth]{strategic-pillars.png}
  \end{frame}
  \begin{frame}{Available data}
    \begin{tabularx}{\linewidth}{XXX}
      \includegraphics[width=.33\textwidth]{data-table.png}\newline
       \tiny 46,172 customers that meet the criteria (AMI meter, pool and solar)
      \begin{itemize}
      \item \tiny ~ 4.5\% of residential accounts
      \item \tiny ~ 33\% of premises with pool
      \end{itemize}&
      &
      \includegraphics[height=.20\textwidth]{data-solar.png}\newline
      \tiny Solar irradiance data for various locations in Perth metro\\
      % \tiny 46,172 customers that meet the criteria (AMI meter, pool and solar)
      %\begin{itemize}
      %\item \tiny ~ 4.5\% of residential accounts
      %\item \tiny ~ 33\% of premises with pool
      %\end{itemize}
      %&
      %&
      %\\      
      \includegraphics[height=.22\textwidth]{data-load.png} &
      \includegraphics[height=.22\textwidth]{data-gross-load.png} &
      \includegraphics[height=.18\textwidth]{data-deskresearch.png}\newline
      \tiny (new) Pool pump size and energy consumption information \\
    \end{tabularx}
  \end{frame}
  \begin{frame}{Model selection – an iterative process in itself}
    \begin{columns}
      \begin{column}{0.5\textwidth}
        \begin{center}
          \includegraphics[width=1\textwidth]{model-image-recognition.png}
        \end{center}
       \end{column}
       \begin{column}{0.5\textwidth}
         \begin{center}
          \includegraphics[width=1\textwidth]{model-traces.png}
        \end{center}
      \end{column}
    \end{columns}
  \end{frame}
  \begin{frame}{Model evaluation demonstrates viability and value}
     \begin{columns}
       \begin{column}{0.5\textwidth}
        
         \begin{center}
           \includegraphics[width=1\textwidth]{model-evaluation-volunteers.png}
         \end{center}
          \tiny
          Volunteering employees confirmed initial results
         \begin{itemize}
         \item Volunteer A: 0.6kW pump between 6am-10am \& 2pm-6pm
         \item Volunteer B: 1.5kW pump between 7am-1pm
         \item Volunteer C: 1.2kW pump between 8:30am-12pm \& 2:30pm-6pm
         \item Volunteer D: 0.4kW pump between 8:30am-5pm
         \item Volunteer E: 1.2kW pump between 11pm-5am
         \item Volunteer F: 0.6kW pump between 8am-10am \& 1pm-7pm
         \end{itemize}         
       \end{column}
       \begin{column}{0.5\textwidth}
         \tiny
         We find 14\% of pool owning customers have an opportunity to adjust their pool pump run times, saving about AUD 70 per year.
         \begin{center}
          \includegraphics[width=1\textwidth]{model-evaluation-results.png}
        \end{center}
      \end{column}
    \end{columns}
  \end{frame}
  \begin{frame}{Bringing it to customers requires cross-functional collaboration}
    \begin{columns}
      \begin{column}{0.5\textwidth}
        \begin{center}
          \includegraphics[width=0.9\textwidth]{smiling-customer.png}
        \end{center}
       \end{column}
       \begin{column}{0.5\textwidth}
         \begin{center}
          \includegraphics[width=1\textwidth]{system-diagram.png}
        \end{center}
      \end{column}
    \end{columns}
  \end{frame}
  \begin{frame}{In summary}
    \begin{itemize}
    \item Working with awesomely talented \textbf{people}
    \item Finding \textbf{value} both for the organisation and for consumers in Western Australia
    \item Delivering data science in a \textbf{cyclical process} of
      \begin{enumerate}
      \item Aligning business objectives
      \item with data
      \item using the right model,
      \item evaluated against the business objectives,
      \item and deployed to the end beneficiaries.
      \end{enumerate}
    \end{itemize}     
  \end{frame}
  \begin{frame}[standout]
    Thank you!
  \end{frame}
\end{document}

