Powering Operations with AI: Smarter Grid, Smarter Decisions

Discover how AI is reshaping operations in the power sector—from predictive grid analysis to automated outage detection. This course equips operational teams with practical tools for smarter, safer, and more efficient energy delivery.

Course Description:

This comprehensive 2-day training course is designed for power system operators, grid controllers, and energy dispatch professionals who are ready to embrace AI-driven tools to improve operational reliability, demand forecasting, outage prevention, and grid efficiency.

Through an immersive mix of expert instruction, live demonstrations, and hands-on simulations, participants will explore how AI is transforming transmission and distribution networks around the world. Participants will leave with a practical understanding of how to interpret AI outputs, integrate them into existing operational workflows, and plan for a more intelligent, responsive grid.

Who Should Attend:

• Grid and control room operators
• Transmission & distribution engineers
• Network planning and reliability officers
• Energy market operations staff

Course Objectives:

Knowledge Acquisition:

• Understand the fundamental role of AI in modern power system operations
• Learn how AI supports load forecasting, fault detection, and dispatch planning
• Explore the different types of AI models used in real-time grid monitoring
• Discover global case studies of AI deployment in grid stability and control

Skills Development:

• Interpret AI-generated load forecasts and system condition reports
• Analyze AI alerts related to anomaly detection and risk mitigation
• Evaluate cost/benefit scenarios using AI-simulated dispatch models
• Navigate dashboards and visual tools designed for grid status management

Practical Application:

• Apply AI-powered demand forecasting tools to improve load matching accuracy
• Use predictive failure models to plan proactive maintenance or load shedding
• Simulate generation dispatch based on AI optimization inputs
• Construct a basic real-time grid monitoring dashboard using sample datasets

What will I Learn From it:

• How to boost operational efficiency with real-time AI-driven decision support
• Techniques to forecast and balance loads using historical and external variables
• Early detection of instability or potential faults before escalation
• How to communicate AI-generated insights effectively to internal teams and stakeholders
• Create a foundational plan for integrating AI into your operational model

Training Methodology

• Instructor-led knowledge sessions
• Real tool demonstrations using simulated control room environments
• Small-group scenario planning and role-play
• Capstone presentations to apply knowledge in realistic grid situations

Requirement/
pre-requisites:

• Familiarity with basic construction project management
• Basic spreadsheet or Excel skills
• Laptop with internet access for workshop tools and templates
• No coding or AI background required