Download the full report
Guide to Evaluating AI Models for Power Grids: Key Considerations and Theoretical Foundations goes into detail on the challenges and best practices for assessing deep neural networks (DNNs) in power grid asset management.
Learn about:
- Why traditional AI evaluation methods fall short in large-scale power grid inspections.
- The importance of asset-level metrics over image-based evaluations.
- How to account for indirect defect detection and variability in image quality.
- Practical frameworks to ensure AI models deliver accurate, actionable insights for grid reliability.
