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    Outage Prediction Agent

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    Sold by: XenonStack 
    The Grid Outage Prediction Multi-Agent AI Solution is an AWS-native analytics platform that helps energy utilities predict and prevent power outages before customer impact occurs. Deployed on Amazon EKS and powered by Amazon Bedrock, the solution uses coordinated AI agents to analyze real-time grid telemetry, load patterns, asset health, environmental conditions, and network dependencies. By combining predictive intelligence, dependency-aware reasoning, and explainable insights, utilities can move from reactive outage response to proactive grid reliability management—improving operational resilience, regulatory performance, and customer trust.

    Overview

    Grid Outage Prediction & Reliability Challenge

    Energy utilities manage complex, distributed power grids spanning generation, transmission, and distribution assets. Despite widespread monitoring, outages are often detected only after customer impact due to fragmented data, threshold-based alerts, and limited ability to correlate telemetry, asset health, load stress, and environmental conditions. This reactive approach increases restoration time, operational risk, and pressure to improve regulatory reliability metrics such as SAIDI and SAIFI.

    Our Solution: Grid Outage Prediction Multi-Agent AI Solution

    The Grid Outage Prediction Multi-Agent AI Solution is an AWS-native predictive analytics platform that helps utilities anticipate and prevent grid-level outages. Deployed on Amazon EKS and powered by Amazon Bedrock, the solution uses coordinated AI agents orchestrated with LangGraph to analyze real-time telemetry, load patterns, asset health, environmental risks, and grid dependencies. A central orchestrator ensures contextual, explainable predictions and delivers actionable insights that enable proactive grid reliability management.

    Key Benefits & Business Outcomes

    1. Predictive outage forecasting with early visibility into grid stress, vulnerable assets, and failure probabilities

    2. Dependency-aware reasoning to identify cascading failure risks across substations, feeders, and regions

    3. Proactive operational advisories that recommend preventive actions such as load balancing and targeted maintenance

    4. Improved grid reliability metrics, including reductions in SAIDI, SAIFI, and restoration planning time

    5. Explainable AI outputs that support regulatory compliance and operational trust

    6. AWS-native scalability and security using Amazon EKS, Bedrock, and managed data services

    7. Reduced operational risk and improved customer confidence through fewer unplanned outages

    Ideal Users / Organizations

    The solution is designed for power generation utilities, transmission system operators, distribution companies, renewable grid operators, and regional or national grid authorities. It supports grid operators, reliability engineers, asset management teams, operations leaders, and regulatory stakeholders responsible for improving grid resilience, outage prevention, and compliance.

    Highlights

    • Uses coordinated AI agents to analyze real-time grid telemetry, load patterns, asset health, and environmental data to predict outages before customer impact.
    • Applies multi-agent, dependency-aware reasoning to model grid topology and assess cascading failure risks across regions and substations
    • Built as an AWS-native solution on Amazon EKS and Amazon Bedrock, delivering explainable predictions that support regulatory compliance and operational trust.

    Details

    Delivery method

    Deployed on AWS
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