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smart-grid-simulation

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This simulation models a city-level smart grid, analyzing critical variables like demand, load types, and grid fluctuations. Driven by an LLM decision engine, it conducts real-time power flow analysis, predicts peak demand, and autonomously manages load rerouting and optimization to ensure a resilient, self-healing energy network.

  • Updated Oct 1, 2026
  • Python

**GridMind is an AI-driven power distribution grid operations console and incident response platform. It pairs deterministic physical simulation with sandboxed multi-agent orchestration (Operations, Safety, Planning), enforcing strict human-in-the-loop approval gates, live MCP tools, and immutable SQLite audit trails to prevent cascading blackouts

  • Updated Aug 30, 2026
  • Python

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