Enhance your skills in AI-driven fault detection with "Artificial Intelligence for Fault Detection and Prediction Training." Learn how machine learning models improve reliability and reduce downtime in power systems.
Learning Objectives
- Understand the principles of Artificial Intelligence (AI) for fault detection and prediction.
- Analyze the AI techniques used in grid fault analysis.
- Evaluate the performance of AI-based fault detection and prediction systems.
- Understand the data requirements and processing for AI applications in fault analysis.
- Discuss the practical implementation of AI for enhancing grid reliability.
Framework Connections
The materials within this course focus on the NICE Framework Task, Knowledge, and Skill statements identified within the indicated NICE Framework component(s):