Introduction of Artificial Intelligence in Power Systems

Course Director: Dr. Jonathan Snodgrass

Next Offering: November 4-6, 2025

Description

The course is designed to provide introductory coverage of data science and machine learning that is tailored for power engineering applications. The electricity industry is transforming itself from a hierarchical, passive, and sparsely-sensed engineering system into a flat, active, and ubiquitously-sensed cyber-physical system. The emerging multi-scale data from synchrophasors, smart meters, weather, and electricity markets offers tremendous opportunities as well as challenges for the industry to dynamically learn and adaptively control a smart grid. This training introduces the foundation of high dimensional spaces and data analytical tools necessary to model and operate a modern power system. We will introduce a suite of tools for statistical time series analysis and dimensionality reduction. We will discuss the differences between first principle models and data-driven models in real-time operations. Discussions and computer-based simulation projects will prepare the participants to understand better how to integrate data-driven and physics-based reasoning in modern power systems.

(Hours: CEU 2.1, PDH 21).

Who Should Attend

It is ideally suited for those who work in areas associated with the electric grid and need to better understand the latest advance in data sciences and machine learning and how their work might be affected by this change.

This course counts toward the Texas A&M Certificate in Electrical Power Engineering.

Registration Opening Soon

Topics

• Grid Operation Basics
• Intro to Data Availability in Power Systems
• Challenges and Opportunities of Big Data
• Singular Value Decomposition (SVD)
• Application of SVD in Power System Anomaly Detection
• Application of SVD in Bad Data Processing for State Estimation
• Neural Nets
• Machine Learning
• Application of Learning in Smart Meter Data
• Reinforcement Learning
• Large Language Models (LLMs)
• Statistical Time Series
• Application of Time Series Analysis in Renewable Forecasting
• Application of Time Series Analysis in Distribution Systems
• Model Identification

 

Logistics

Dates and Times: November 4-6, 2025; 8:00 a.m. – 5:00 p.m.

Location: Texas A&M Center for Infrastructure Renewal (CIR), 1041 RELLIS Parkway, Bryan TX

Air Transportation:
Direct flights available at the Texas A&M Easterwood Airport (CLL) from Dallas-Fort Worth (DFW) on American and Houston (IAH) on United.
Other airports within driving distance: Austin (AUS) and Houston (IAH), both about two hours away
May rent car or use shuttle service: Airport Ground Shuttle

Registration Cost: $1,795. Discount of 25% is available for employees of Smart Grid Center member companies. For more information on the discount, contact SGC@tamu.edu.

Hotel Block: TBA

Registration Opening Soon

 

Instructors

TBD

 

For More Information