July 26 - 28, 2017Postponed
Golden, Colorado USA
COURSE PROGRAM

Check-in is required for all participants on the first day of attendance. A continental breakfast is available before class on each day. Breaks are scheduled in the morning and afternoon.

  • Smart Grid and Big Data (¼ day)
    • Sources and types of data
    • Challenges with big data in utility applications
    • Data analytics for utility operations
    • Data analytics for customer interactions
    • Data analytics for cyber-security
    • Data analytics for utility business intelligence
  • Data Collection and Pre-Processing (½ day)
    • Data collection
    • Data cleaning
    • Visualization
    • Exploratory statistical analysis
    • Discretization, aggregation, and standardization of data
    • Dealing with outliers
    • Dealing with missing values
  • Descriptive Analytics (½ day)
    • Descriptive clustering
    • Association rules
    • Self-organizing maps
  • Predictive Analytics (½ day)
    • Regression: linear vs. nonlinear; univariate vs. multivariate
    • Decision trees
    • Support vector machines
    • Artificial neural networks
    • Multiclass classification techniques
    • Model evaluation
  • Prescriptive Analytics and Case Studies (¼ day)
    • From situational intelligence to intelligent decision making
    • Decision making under uncertainty
    • Case studies (e.g. integration of renewable generation with the grid, power grid risk management against natural hazards, demand response customization, cyber-intrusion and cyber-security, etc.)
  • Apache Hadoop Essentials (½ day)
    • Hadoop Distributed File System
    • MapReduce
    • Apache Hive and Impala

Course Textbooks and References

Although not required for the course, the following books are recommended and will be referenced in different lectures:

  • C.L. Stimmel, Big Data Analytics Strategies for the Smart Grid, CRC Press, 2015
    ISBN: 978-1-4822-1828-2
  • G. James, D. Witten, T. Hastie and R. Tibshirani, An Introduction to Statistical Learning, New York, NY: Springer, 2013