Name in original language
Jaunas lielo datu bāzētas augstsprieguma elektrotīkla bojājumu prognozēšanas sistēmas pirms vētras izstrāde
Initiative overview
This initiative focuses on developing a modular, scalable AI-powered system to predict damage to overhead power grids caused by storms. By leveraging big data and machine learning algorithms, the system can generate real-time forecasts of potential failures in medium- and low-voltage grids, helping operators plan preventive actions.
Key objectives include:
- Predicting storm-related damage to power infrastructure before it occurs
- Supporting proactive decision-making by grid operators to reduce outages
- Improving resilience of the electrical grid through AI-driven monitoring and alerts
The system is designed to be modular and scalable, allowing it to adapt to different grid configurations and to expand as new data sources become available. By integrating advanced analytics with operational planning, the initiative strengthens energy reliability and disaster preparedness.



























