Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
7399153 | Energy Policy | 2016 | 5 Pages |
Abstract
We study the impact of this peak reduction program, called 5 Coincident Peaks (5CP), on consumers by analyzing the difficulty of predicting peak-demand days and peak hours on those days. We find that even the state-of-the art peak-prediction algorithms require consumers to curtail load ten or more times, and even then, they may not identify all five peak-demand days. We also analyze alternative policies that cold help reduce peak demand in Ontario.
Keywords
Related Topics
Physical Sciences and Engineering
Energy
Energy Engineering and Power Technology
Authors
Yuheng Helen Jiang, Ryan Levman, Lukasz Golab, Jatin Nathwani,