Project for the first Hack the Climate online Hackathon provided by the International Facilities Management Association (IFMA), Colleges and Institutes Canada (CICan) and BGIS)
Website url: https://www.bgis.com/hackingclimate.htm
Group members:
- Tinson Wang, University of Guelph Computer Science Undergraduate student (tinson@uoguelph.ca)
- Wency Go, University of British Columbia Electrical Engineering Undergraduate student (wency.go@alumni.ubc.ca)
Our project aims to deploy machine learning to predict patterns in energy consumption, prices, and expenditures. Datasets are formatted in R. Machine learning performed in Python.