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Understanding electric consumption profiles with an emphasis on data privacy

Timeline

2022

Description

This project is also part of Duke’s first Climate+ cohort.

A team of students led by researchers at Duke and abroad will develop and evaluate machine learning solutions to model behavioral patterns of electric use, emphasizing data privacy. Data collected in different parts of the world will be analyzed to understand the electric patterns that characterize various appliances and how that information can model users' consumption profiles and prevent fraud.

Project Lead: J. Matias Di Martino
Project Manager: Raza Lamb

View the team's final poster

Understanding electric consumption profiles with an emphasis on data privacy scaled

Watch the team's final presentation below:

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Categories

Climate+, Data+, Energy Data Analytics