Load Studies Using Interval AMI Data


Most utilities have progressed to the point of implementing wide scale AMI systems, and this session will discuss some useful ways to accurately use this information to make your load models better than the traditional 30 day kwh allocated methods. Other topics will include how WIN Energy is using this same data for Cost of Service studies.


  • Gregory Wolven – Director of Engineering – WIN Energy REMC
  • Stan McHann – Senior Research Engineer – NRECA