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Forecasting campus energy usage for improved energy management
Timeline
2020
Description
In collaboration with Data and Analytics Practice at OIT, our team has completed a series of critical analyses aiding Duke Facilities Management in further optimizing campus energy usage. Data cleaning tools, imputation techniques, and a variety of time series prediction methods ranging from autoregressive models to deep learning networks have been seamlessly integrated into a single interactive forecasting application allowing collaborators to provide accurate and comprehensive utility usage estimates.
Projects Leads: John Haws, Gagandeep Kaur
Project Manager: Billy Carson
Click here to view the project team's final poster
Watch the team's final presentation (on Zoom) here:
Categories
Data+