Energy Analytics for Decisionmakers
Our toolsets and analytics parse system loading data to save time, and empower users to visualize changes quickly and easily. Compare:
YOY changes
Customer Solar Impacts
Correlate with Ambient Temperature & Humidity
Same day of week averages for each month, YOY
View old loading data in new ways using our toolsets. Compare months, same weekdays within months YOY, visualize the impact of customer change over time, and couple with EV adoption, and storage.
Use solar production data or even just solar radiation to consider also the potential for Grid Defection should your rate structure push EV users toward that in the future. See this great article by Jim Lazar for insights on how these datasets can assist in rate design challenges.
Customer Solar
Track and compare customer solar installation output and count by month to weigh customer solar impact on load service and regulation.
Day of Week & Month Ambient Conditions
Compare YOY changes in System Load with adjacent Ambient Temperature and Average Relative Humidity. Easily distinguish the impacts of ambient conditions on output to quickly distinguish the impact weather had on a specific weekday in any month YOY.
Compare Days
Compare two days side by side, with environmental data and metrics.
System Load to Temperature Scatter
Using a scatter plot quickly throw up a visual of average load at various temperatures. Rapidly parse large quantities of data visually.