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