Jun 25 - 27, 2024
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.
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Day 1
- Introduction: course objectives, big data power systems and smart grid
- Overview of machine learning applications in smart grid
- Overview of machine learning algorithms
- Applications of machine learning in distribution system
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Day 2
- Applications of Machine Learning in Transmission System
- Applications of Machine Learning in Electricity Market
- Applications of Machine Learning for End-use Customers
- Applications of Machine Learning in Distribution System
Course Calendar
Oct 13 - 14, 2024
301: Machine Learning and Big Data Analytics for Power Systems & Smart Grid – October 13-14, 2024
Hyatt Regency McCormick Place
Dec 03 - 05, 2024
301: Machine Learning and Big Data Analytics for Power Systems & Smart Grid – December 3-5, 2024
Register
Classes will be announced soon for 2024
Utility Analytics 301: Machine Learning and Big Data Analytics for Power Systems & Smart Grid
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
$
795
Early Bird Pricing*
-
Regular Pricing: $895
*Early Bird Pricing ends 5 weeks before the event date.
Non-Member
$
995
Early Bird Pricing*
-
Regular Pricing: $1095
*Early Bird Pricing ends 5 weeks before the event date.
In-Person Training
UAI Member
$
1695
Early Bird Pricing*
-
Regular Pricing: $1895
*Early Bird Pricing ends 5 weeks before the event date.
Non-Member
$
2095
Early Bird Pricing*
-
Regular Pricing: $2395
*Early Bird Pricing ends 5 weeks before the event date.
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
"I enjoyed the Utility Analytics 101 class. The instructor provided helpful and insightful information. The class was beneficial and is a good overview class for people that don’t really know or understand how visualizations tell the story, how to work with the data to tell the right story, or what tools to use to analyze the data to determine if the data is good or bad."
Western Area Power Administration
“I found the UAI 101 course to be informative and thought provoking. As a beginning course it really stretched my mind to the possibilities of using data. There are so many ways to collect, interpret, visualize and present data that it is definitely a science but also an art. Looking forward to the next course.”
Barbados Light & Power Company (an Emera Company)
“UAI Utility Analytics 101 was a perfect training course for utilities that are making the change to a more datacentric environment. With real utility data, it was great to learn the process of taking on a new task and how to execute that task. The training in both SQL and python was helpful because those are two software’s I work with every day. It didn’t matter if you had previous data science experience or none at all, the instructor that taught this course did an excellent job explaining and interpreting challenging concepts to all knowledge levels.”
NiSource
“UAI Utility Analytics 101 was a perfect training course for utilities that are making the change to a more datacentric environment. With real utility data, it was great to learn the process of taking on a new task and how to execute that task. The training in both SQL and python was helpful because those are two software’s I work with every day. It didn’t matter if you had previous data science experience or none at all, the instructor that taught this course did an excellent job explaining and interpreting challenging concepts to all knowledge levels.”
Delaware Electric Co-op
“I think the UAI Utility Analytics 101 training instructor did a great job leading the group through a number of complex topics. The course would be a great introduction for someone with very limited knowledge and/or exposure to the field of analytics. You can expect to come away with a better understanding of the many different terms, tools, and techniques that the analytic professionals in our utilities use on a daily basis. In addition, you’ll also get to network and learn alongside peers from many different parts of the utility industry.”
Tacoma Power
“Utility Analytics 101 is a great introduction to how analytics can be leveraged by a utility to provide value. It covers the core concepts of Python, SQL, and visualization, and highlights the use of storytelling in the data world. I would recommend it to professionals who intend to develop a culture of data-driven decision-making in their teams or organizations.”
National Grid
“I enjoyed the UAI Utility Analytics 101 class. It explains fundamentally the approach of data analytics, and the difference between tools used for data analytics. I recommend this course as the basis for an entry step for newcomers in utility analytics.”
CLP Power Hong Kong
“Utility Analytics 101 is a very well-structured class. It not only provides a big picture of analytics from different levels (descriptive, predictive, and prescriptive), but also showcases how various analytics methods can be applied in the utility industry. During the SQL and Python sessions, the instructor was incredibly patient and interactive with students. Even if you have zero experience with SQL and Python, you can easily understand the content without a struggle. Thanks Utility Analytics Institute for putting together such a helpful training!”
Idaho Public Utilities Commission
“The Utility Analytics Training is a great course for those not only new to the utility industry but also to seasoned utility professionals who are looking to improve technical and data analysis skills.
The curriculum is designed to keep the learners engaged and the instructor always encouraged students to ask questions or give feedback. The utility use cases and hands on lab was extremely helpful to immediately apply what we learned.
I have suggested to my department manager that this become part of our onboarding process for new team members to the Data Strategy division.”
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