Deep Learning for big building data analysis

This project is closed.

We are analyzing energy consumption data from buildings (HVAC) and attempt to identify patterns in the consumption.

We have partnered with a company and have data from about 3000 buildings with 1min temporal resolution.

The goal of this project is to identify consumption patterns which can drive developments of smart buildings and the smart grid.

Project Website
http://nagy.caee.utexas.edu
Qualifications

We are looking for a CS or ECE/ME student with solid background knowledge in machine learning (supervised, and unsupervised learning) and programming skills (ideally python).

Project Timeline

Start is immediate and possible anytime during the coming semester as long as this position is open.

Duties

Access data through database, analyze data, apply different algorithms for clustering the data. Apply supervised learning for predictions.

Typical Time Commitment
10hr/wk
Desired Length of Commitment
1-2
Tags
machine learning
artificial intelligence
artificial neural networks
smart buildings
python
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Project Lead
Who to Contact
Zoltan Nagy
Contact Email
nagy@utexas.edu

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