SP Energy Networks
SP Energy Networks wanted to find a way to separate the effects of weather and consumer behavior on peak demand at a more localized substation level, instead of just license level.
By analyzing historical demand data from SP Energy Networks, we were able to create normalization models that disaggregated electrical demand into load driven by weather conditions and load driven by consumer behavior. The underlying trends were analyzed, providing us with the necessary data to make suggestions in regard to network planning and the completion of regulatory reports.
The project delivered detailed data, which enabled SP Energy Networks to make more effective, informed decisions about their systems and network. It also meant that they could prove to the UK regulatory body that any and all actions taken were completely necessary.
April 5, 2018