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Energy Data Analytics Laboratory

Location: Interdisciplinary Research Building, RM 163

Lab director: Qun Zhou


  • Collect real-world data on energy systems and microgrids (including feeder data, PMU, building management, CHP, power generation)
  • Process data using commercial tools such as Siemens MindSphere
  • Develop new functionalities for industry/utility partners
  • Conduct in-depth research on energy data analytics
  • Support students to perform case studies with real-world design specifications and constraints
  • Provide support and services to governmental agencies, industry, utilities, local communities and entities.