Baseline Methodologies for Small Scale Residential Demand Response
Javad Jazaeri, Tansu Alpcan, Robert Gordon, Miguel Brandao, Tim Hoban, Chris Seeling
2016 IEEE INNOVATIVE SMART GRID TECHNOLOGIES - ASIA (ISGT-ASIA) | IEEE | Published : 2016
Demand response (DR) programs are designed to reduce electricity load in periods of peak electricity demand, which helps avoiding expensive network upgrades. This reduction is measured by comparing the actual load with a baseline estimate. The baseline is a counter-factual load that could have been consumed in the absence of the DR program. Criteria for a good baseline methodology are accuracy, simplicity, and integrity. Five baseline methodologies are tested on actual smart meter data from 66 residential customers. These methodologies are High X of Y, Last Y Days, Regression, Neural Network, and Polynomial Interpolation. The performances of the selected methodologies are evaluated using bia..View full abstract
This work is in part supported by AGL. Tim Hoban was with AGL Energy during this project.