AI Storm Impact Forecasting

Applies AI to forecast storm-driven damage and customer impact using meteorology, vegetation, and network topology to pre-stage crews and materials.

The Problem

Analysis in progress...

The Shift

Before AI~85% Manual

Human Does

  • Review every case manually
  • Handle requests one by one
  • Make decisions on each item
  • Document and track progress

Automation

  • Basic routing only
With AI~75% Automated

Human Does

  • Review edge cases
  • Final approvals
  • Strategic oversight

AI Handles

  • Automate routine processing
  • Classify and route instantly
  • Analyze at scale
  • Operate 24/7

Solution Spectrum

Four implementation paths from quick automation wins to enterprise-grade platforms. Choose based on your timeline, budget, and team capacity.

1
Quick Win

Trustworthy AI Briefs

Explainable GenAI summaries for control-center decisions

Deploy a lightweight generative-AI assistant that produces operator-facing, explainable summaries of grid operational context and AI considerations. This level focuses on building trust and usability first (clear explanations, limitations, and non-endorsement language), aligned to the report’s emphasis on trustworthiness/explainability and the opportunity to integrate AI into transmission control centers.

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Market Intelligence

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Reactive to Predictive pattern detected

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