The Worldwide Pandemic of COVID19, the subsequent lockdowns, and business shutdowns of 2020 caused a drastic shift in customer energy consumption behavior witnessed by utilities throughout North America. Here we examine the shifting baselines, reset assumptions, and the tracking tools utilized to inform upper management & decision makers of dynamic changes in customer load in near-real time.

This session addresses:  

• AMI data can be utilized quickly & extensively to understand changing customer dynamics in near-real time. 
• Having an analytics team that can adjust forecasts and transform planned figures is invaluable to understand change in an extremely dynamic environment. 
• Utilizing self-serve visualization tools & dashboards can greatly aid in the communication of change to utility management given a high degree of urgency.