AI Agents and Power System Studies

Service Description

Advanced Workshop on Generative AI and Agentic Models for Power Systems

Generative AI and agentic models are reshaping the future of power system operations, analysis, and decision-making. This advanced workshop provides a structured, hands-on approach to understanding AI fundamentals, agentic model design, and practical implementations specifically tailored for power system applications.

Participants will learn core AI concepts — including NLP fundamentals, attention-based transformer models, and LangChain integration — while developing intelligent agents for monitoring, optimization, and grid management.

In addition to foundational AI topics, this course will emphasize how AI agents are set to revolutionize power system studies by enabling real-time decision-making, enhanced system reliability, and automated analysis for complex transmission and distribution networks. Through real-world examples, we will explore how agentic models are already being applied to power system automation, including network monitoring, asset management, and contingency analysis.

Course Content:

• AI Fundamentals: Introduction to Generative AI, NLP concepts, attention mechanisms, and transformer architectures.
• Agentic Models: Building intelligent agents; decision-making strategies; integrating tools and frameworks for power system applications.
• LangChain Implementation: Practical development of monitoring and optimization agents using LangChain.
• Integration Techniques: Connecting agents with live data sources, APIs, and operational platforms for deployment in power networks.

Power System Applications:

• Real-world examples of AI-driven automation in grid monitoring, renewable energy integration, asset management, and operational optimization.
• Future directions: How AI agents will transform planning studies, stability analysis, and large-scale grid operations. 
• Case Studies: Applied projects demonstrating agentic models in system monitoring, grid optimization, and real-time contingency management. 

Who Should Attend?

This course is ideal for power system engineers, grid operators, researchers, and data scientists involved in system automation, optimization, and intelligent monitoring. Basic programming experience is helpful but not mandatory.

Notes:

• All participants will receive digital course materials, which may include slide decks, reference guides, toolkits, and access to the session recording.

• Upon successful completion, you will earn the ElectroMentors Certificate of Completion.

• ElectroMentors is an approved provider of IEEE CEU/PDH certificates. Should you wish to receive it, it is available as an optional add-on during checkout.

• This course may be eligible for Professional Development Hours (PDHs) with engineering regulatory bodies such as EGBC, APEGA, PEO, Engineers Nova Scotia, and other similar organizations across Canada. Participants are responsible for ensuring the course content is relevant to their area of professional practice and for retaining proof of completion for audit purposes.

• ElectroMentors is an approved provider of IEEE CEU/PDH Certificates. If you wish to obtain a certificate directly from IEEE, please add it to your checkout via [this link].

• Please note that all purchases are final. By registering and attending the course, you agree to ElectroMentors’ Terms and Conditions, including our rescheduling, cancellation, and refund policies. [Terms & Conditions].