• Lecture time: Monday: 13:30:00 - 14:20:00 ET
  • Lab time: Friday: 13:30:00 - 15:20:00 ET
  • Domain: Energy
  • Keywords: Energy Management, Forecasting, Machine Learning, Predictive Analysis
  • Tools: Azure, Python, R
  • Citizenship: U.S. citizens and permanent residents preferred

The project will involve identifying trends/patterns that impact the reliability of the electric grid. This will include analyzing data from a variety of data sources, such as climate, energy generation and usage, and the trends of increasing renewable energy and electrification.


*** Given MISO’s regulatory requirements, a background check may be required for student researchers on the team. Students are not allowed to apply to, or participate in, any foreign nation-state talent recruitment programs. *** Please see the PDF for a detailed project description. When registering for this project in UniTime, look for 'MISO' in the Note section, and select the appropriate CRN.