Utility Analytics 301
Utility Analytics 301: Machine Learning and Big Data Analytics for Power Systems & Smart Grid
The course provides background information, real-world development experience, and in-depth discussions of big data analytics and machine learning in power systems and smart grid. The value, velocity, volume, and variety of big data in smart grid will be discussed. The basics of machine learning algorithms such as unsupervised learning, supervised learning, reinforcement learning algorithms, graphical learning, and generative models will be covered and taught. Important real-world applications of big data analytics and machine learning in transmission system, distribution system, and electricity market will be presented and discussed.
Course Calendar
301: Machine Learning and Big Data Analytics for Power Systems & Smart Grid – June 25-27, 2024
Register301: Machine Learning and Big Data Analytics for Power Systems & Smart Grid – October 13-14, 2024
301: Machine Learning and Big Data Analytics for Power Systems & Smart Grid – December 3-5, 2024
RegisterUtility Analytics 301: Creating Citizen Data Scientists!
Course Takeaways
- Understand how to assess the business value of machine learning and big data analytics in smart grid
- Identify important machine learning and big data applications in smart grid
- Master the skills of big data management and processing
- Explain and illustrate machine learning algorithms
- Develop big data applications in smart grid
- Apply machine learning algorithms to solve problems in transmission system, distribution system and electricity market
Appropriate Audience
This course is appropriate for the following audiences:
- Electric, combination utility, software provider, consulting company, proprietary trading firms, independent system operator.
- Engineers, data analysts, data scientists, business analysts, and managers.
- Distribution Planning, Distribution Engineering, Distribution Operators, Transmission Planning, Transmission Engineering, Transmission Operations, Customer Service.
Prerequisites
No prior knowledge of machine learning and big data analytics or certification required.
Pricing
Virtual Training
In-Person Training
Virtual Training
UAI Member
-
Regular Pricing: $895
Non-Member
-
Regular Pricing: $1095
In-Person Training
UAI Member
-
Regular Pricing: $1895
Non-Member
-
Regular Pricing: $2395
Not a UAI member and interested in learning more? Contact our Membership Team!
UAI Utility Membership is at the organizational level and is designed to aid utilities looking to realize desired business outcomes using analytics. Membership benefits are centered around an experience that allows utility members to share insights, knowledge and practical application techniques.
UAI Utility Membership allows everyone with a stake in analytics to take the lead, get involved and start their journey to become a smarter utility analytics professional.

James Wingate
Membership Development Manager
jwingate@endeavorb2b.com
404-226-3756
Meet The Instructor

Nanpeng Yu
Associate Professor
University of California, Riverside
From Our Students

Western Area Power Administration

Barbados Light & Power Company (an Emera Company)

NiSource

Delaware Electric Co-op

Tacoma Power

National Grid

CLP Power Hong Kong

Idaho Public Utilities Commission
