graphs,

Energy disaggregation, is a technique used to analyze and break down the energy consumption in a building or household into individual appliance-level energy usages. The goal is to identify and monitor the energy consumption of specific “appliances” without the need for additional metering or sensors on each device. This project will look at the insights available for energy distribution through the application of energy disaggregation.

The aim of this project is to create an application for optimizing the distribution of load (consumption) acorss a power grid so that it is balanced instead of overloaded in some areas and underloaded in others.

We have controlled vocabularies and topic structures that are used to index and understand large bodies of text. We want to better understand how text is clustered around known structured topics so that unknown topics can be identified in texts and added to our controlled vocabularies and topic structures.

The goal of the project is to develop an interface between quantum and classical- binary computing devices for the purpose of climate modelling.