Fundamentals of Utility Analytics: Techniques, Applications and Case Studies

The standard outline is listed below. The course is being customized based on the classroom environment, background and needs of attendees. 

Course Outline

Evolution of analytics practice
  • History of the electric power industry
  • Electric power systems
  • Analytics and IT
Introduction to analytics
  • Case study 1: analyzing utility stocks
  • Descriptive analytics
  • Predictive analytics
  • Prescriptive analytics
  • Hands-on exercise
Descriptive analytics
  • Case study 2: describing electricity demand
  • Numerical methods
  • Graphical methods
  • Hands-on exercise
Predictive analytics
  • Case study 3: annual peak forecasting
  • Exponential smoothing
  • Simple linear regression
  • Hands-on exercise
  • Case study 4: monthly energy forecasting
  • Regression analysis
  • Hands-on exercise
  • Case study 5: power distribution system reliability
  • Simulation
  • Case study 6: managing demand response programs
  • Survival analysis
Prescriptive analytics
  • Case study 7: unit commitment 
  • Linear programming
  • Dynamic programming
  • Mixed integer linear programming
  • Hands-on exercise
  • Electricity market and locational marginal pricing
  • Case study 8: energy trading
  • Risk analysis
Comprehensive case studies
  • Case study 9: forecasting solar rooftop penetration
  • Case study 10: outage analytics
  • Case study 11: aging infrastructure and asset management
  • Case study 12: distributed generation
Analytics in enterprise environment
  • Analytics solutions and services
  • Managing analytics projects
  • Cross-functional analytics team
  • Career path and career development