Electricity Disaggregation

In this project we focus on a specific class of unsupervised algorithms based on deep learning techniques that can learn instantaneous power waveforms for individual devices as well as their activation patterns given sufficient data from a single meter.

Estimating Climate Change Impacts on Electricity Demand

In this project we focus on estimating the effects of climate change, particularly changes to temperature and humidity, to electricity demand.

GridBallast: Autonomous Load Control For Grid Resilience

The GridBallast project will create low-cost demand-side management technology to address resiliency and stability concerns accompanying the growth of distributed energy resources.