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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.
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‍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.