envelio US

Arizona’s load growth is putting utility grid data to the test: https://lnkd.in/gJmPAvDj/?utm_campaign=AZ_BoostedPost_Sep15,2026&utm_source=linkedin&utm_medium=paid&utm_id=1207276616&hsa_acc=513940810&hsa_cam=1207276616&hsa_grp=904046096&hsa_ad=1621677046&hsa_net=linkedin&hsa_ver=3 With electricity demand and interconnection requests on the rise, utilities need reliable grid data for faster studies and better planning. Our latest article looks at what this means for Arizona utilities — and how to assess your distribution grid data readiness.

Evaluate flexibility with the same rigor as traditional grid reinforcement: ✅ Identify capacity that can be used more effectively ✅ Accelerate viable interconnections ✅ Target infrastructure investments where they are truly needed

What if a grid constraint didn’t have to mean waiting for an upgrade? We explore how California utilities can use flexibility, storage, and targeted reinforcement to energize loads sooner.

I’m looking forward to attending the CIGRE USNC Grid of the Future Symposium in Richmond, Virginia on behalf of envelio US! I’m especially interested in connecting with utility professionals to discuss the evolving challenges of distribution planning, grid capacity, and integrating new loads and distributed energy resources. There certainly are some common themes but it’s particularly interesting to hear about issues specific to your utility and customers. If you’ll be there please comment or DM me, it would be great to say hello in person.

What if a grid constraint only exists for a few hours each year? Our latest blog explores how time-series based planning can help utilities make better use of existing capacity: https://lnkd.in/ePQKEEWt/?utm_campaign=FlexibilityBoostedPost_October52026&utm_source=linkedin&utm_medium=paid&utm_id=1219148604&hsa_acc=513940810&hsa_cam=1219148604&hsa_grp=901356244&hsa_ad=1585856804&hsa_net=linkedin&hsa_ver=3 ⚠️ Peak-based planning can make capacity look more limited than it actually is. ✅ Time-series analysis gives utilities a more complete picture, showing when constraints occur, how long they persist, and where flexibility could be a viable alternative to immediate grid upgrades. The result is a more informed basis for distribution system planning and investment decisions.

Peak conditions don’t tell the whole story. Time-series analysis gives Virginia utilities a more complete view of grid utilization.