Statnett - Forecasting weather-dependent failures on power lines

Public sector Norway

Joint Research Centre Data Catalogue: Public Sector Tech Watch latest dataset of selected cases European Commission, Joint Research Centre (JRC). Public Sector Tech Watch latest dataset of selected cases. 2023. European Commission. Available at: https://data.jrc.ec.europa.eu/dataset/e8e7bddd-8510-4936-9fa6-7e1b399cbd92. (Accessed March 2025).

Statnett, Norway's electricity transmission system operator, developed a service that predicts the probability of failures in overhead power lines due to weather conditions, particularly wind and lightning. The system utilizes historical failure data and weather statistics to create fragility curves for each line, indicating their vulnerability to specific weather events. By integrating these fragility curves with real-time weather forecasts from the Norwegian Meteorological Institute, the service calculates and updates failure probabilities for individual power lines. The results are visualized through an interactive dashboard, enabling system operators to anticipate and prepare for potential weather-induced failures effectively. This proactive approach enhances the reliability and resilience of Norway's power transmission network.

Monitoring and Control

AI tools in this category are used for enhancing transparency, access to information, compliance monitoring, and ensuring regulatory adherence. These applications help in real-time monitoring of various public sector activities and services.

Resource Planning

These tools assist in the efficient allocation and management of resources, such as workforce, budgets, and infrastructure. They help optimize the use of public resources and improve operational efficiency.

#monitor Statnett’s tool continuously monitors overhead power lines by integrating real-time weather data with historical failure records. This allows operators to track potential risks and take preventive measures before outages occur.

#predict Using machine learning, the system predicts failure probabilities based on weather conditions such as wind and lightning. These forecasts help grid operators anticipate disruptions and allocate maintenance resources efficiently.

#visualize The tool presents risk assessments through an interactive dashboard, making complex data easily interpretable. Operators can quickly identify high-risk areas and make informed decisions to ensure grid stability.

Website

Developed by: Public Sector
Deployment Type: Cloud-Based AI Service & API
Community Moderation: Does not require community manager
Difficulty Level: Requires developer
License: Open-source

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