Curtailment Estimation Methods for Demand Response: Lessons Learned by Comparing Apples to Oranges

Charalampos Chelmis, Muhammad Rizwan Saeed, Marc Frîncu, Viktor K. Prasanna

Abstract: Accurate estimation and evaluation of consumption reduction achieved by participants during Demand Response is critical to Smart Grids. We perform an in-depth study of popular estimation methods used to determine the extent of consumption shedding during DR, using a real-world Smart Grid dataset from the University of Southern California campus microgrid. We provide insights to the process of selecting a reasonable baseline with respect to potential misinterpretation of the estimation of electricity consumption reduction during DR.