Electric Vehicle Disaggregation and Detection in Whole-House Consumption Signals

A method of electronically detecting and disaggregating a consumption signal associated with the charging of an electric vehicle from a whole-house profile, comprising:

• identifying by an electronic processor, potential interval candidates of electric vehicle charging using sliding windows of various sizes and optimization techniques including dynamic programming, alpha-beta pruning, Bayesian/probabilistic models, and/or branch-and-bound algorithms;
• determining by the electronic processor intervals associated with the charging of an electric vehicle, based at least in part on evaluating each potential interval candidate by fitting each potential interval candidate shape with one or more parametric models;
• and
• accounting by the electronic processor for feedback of any incorrectly detected signals.

a method of electronically detecting and disaggregating consumption signals associated with charging electric vehicles, comprising:

• identifying potential interval candidates of electric vehicle charging;
• determining intervals associated with the charging of an electric vehicle, based at least in part on evaluating each potential interval candidate by fitting each potential interval candidate shape with one or more parametric models;
• determining energy load associated with charging of electric vehicles in a specified geographic area or energy grid section;
• and
• determining a projected load for the existing infrastructure of a utility company.