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Reinforcement LearningSmart GridIOT
Autonomous Load Balancing
Stabilizing the smart grid at the edge.
$12MAnnual Savings
100%Automation Rate
The Friction
Traditional centralized control was too slow to react to cloud cover or wind drops, leading to expensive 'peaker plant' activation.
The Neural Architecture
We implemented a decentralized architecture where 10,000+ smart inverters act as independent agents to balance voltage at the edge.
Tech Stack Deployed
PythonTensorFlowKubernetesRedisReactAWS SageMaker
Impact Report
- Prevented 14 distinct blackout events in the first year.
- Saved $12M in peaker plant operational costs.
- Increased renewable integration capacity by 40%.