Vegetation Management: Applying AI/ML to Move from a Cycle-based to a Risk-based Approach
Feb 28, 2024
W311CD
System Hardening and Vegetation Management
This session will explore how AES Ohio and AES Indiana have used artificial intelligence and machine learning techniques to transition from a cycle-based approach in a vegetation management program to a risk-based approach to improve grid reliability and manage costs.
System Hardening and Vegetation Management Track Sponsored by: AiDash