# Volt Control

- **Event:** [The Agentic Evolution Hackathon](https://cerebralvalley.ai/e/mongo-db-london-hackathon)
- **When:** Sat, May 2 at 9:00 AM – 9:00 PM (GMT+1)
- **Where:** CodeNode, London, United Kingdom
- **Placement:** 3rd Place
- **Team:** [Ayush Gupta](https://cerebralvalley.ai/u/AyushGupta), [Arham Atif](https://cerebralvalley.ai/u/its-arham)
- **GitHub:** https://github.com/AyushGupta05/Frequency-
- **Demo video:** https://www.youtube.com/watch?v=c2F4wxlmrdo
- **Gallery:** https://cerebralvalley.ai/e/mongo-db-london-hackathon/hackathon/gallery
- **Page:** https://cerebralvalley.ai/e/mongo-db-london-hackathon/hackathon/gallery/30

Volt Control is an agentic demand-response operator for renewable-heavy grids, built for the Agentic Retrieval track. It detects UK grid stress using live signals like frequency, demand, generation mix, weather, and interconnector flows, retrieves similar historical grid states, then identifies flexible loads such as EV chargers, HVAC, cold storage, and batteries to safely reduce demand. Low-risk actions are dispatched automatically, higher-risk actions require approval, and every decision and outcome is logged in MongoDB Atlas.

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Markdown version of https://cerebralvalley.ai/e/mongo-db-london-hackathon/hackathon/gallery/30. Site index for agents: https://cerebralvalley.ai/llms.txt · full text: https://cerebralvalley.ai/llms-full.txt