• Lecture time: Monday: 15:30:00 - 16:20:00 ET
  • Lab time: Friday: 15:30:00 - 17:20:00 ET
  • Domain: Energy
  • Keywords: ArcGIS Pro, Geographic Information Science, Optimization, Renewable Energy, Spatial Data Science, Suitability Modeling, Vector and Raster Data
  • Tools: Azure, Python
  • Citizenship: U.S. citizens and permanent residents preferred
Summary

At the intersection of Operations Engineering and Planning, there lies three broad, mutually-beneficial categories for data scientists to explore: next-day forecasting, determining and aggregating a robust seasonal average temperature for an area, and siting.

Description

*** 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.