AI-Enabled High Voltage Operations
This program bridges the gap between traditional high-voltage engineering and modern AI capabilities. Over three days, participants will learn to apply computer vision for HV inspection, build predictive maintenance models for grid assets, and implement AI safety protocols that meet regulatory requirements. Designed for operations teams ready to integrate intelligent automation into critical infrastructure workflows.
Curriculum
What You'll Learn
Foundations of HV Systems
- Power system protection principles
- Switchgear and transformer monitoring
- Traditional inspection methodologies
Computer Vision for HV Inspection
- Thermal imaging and defect detection
- Drone-based asset inspection
- Real-time anomaly classification
Predictive Analytics for Grid Assets
- Failure prediction models
- Condition-based maintenance
- Asset health indexing
AI Safety Protocols
- Autonomous safety interlocks
- Human-AI collaboration in operations
- Regulatory compliance for AI in critical infrastructure
Audience
Who Should Attend
HV operations engineers
Utility asset managers
GCC teams supporting grid operations
Safety compliance officers
Delivery Format
Format
Day 1 virtual (theory), Days 2-3 in-person (simulation lab).
Prerequisites
Basic understanding of power systems.
What's Included
Lab access, simulation tools, certificate of completion.
Instructor
Dr. Sayonsom Chanda
Founder, SARAL
Former researcher at NREL and Idaho National Lab. R&D 100 Award recipient. Leads SARAL's research across Energy, AI, Quantum, and Robotics.