rishithayanidhi/datacenter-cooling-optimization

1---2title: Data Center Cooling Optimization3emoji: 🌡️4colorFrom: blue5colorTo: green6sdk: docker7app_port: 80008pinned: false9startup_duration_timeout: 1h10---11 12# Data Center Cooling Optimization Environment13 14Autonomous AI environment for optimizing data center cooling using reinforcement learning.15 16## Features17 18- 🌡️ Multi-zone temperature management19- ⚡ Energy efficiency optimization20- 🤖 RL-based autonomous control21- 📊 Real-time metrics and monitoring22 23## API Endpoints24 25- `POST /reset` - Reset environment26- `POST /step` - Execute action27- `GET /state` - Get current state28- `GET /health` - Health check29- `GET /docs` - Interactive API documentation30 31## Environment Variables32 33- `API_BASE_URL`: API endpoint (default: http://localhost:8000)34- `TASK_TYPE`: Task difficulty - easy/medium/hard (default: easy)35- `MODEL_NAME`: Model identifier (default: gpt-4-turbo)36- `HF_TOKEN`: Hugging Face API token37- `OPENAI_API_KEY`: OpenAI API key38 39## Quick Start40 41The environment is deployed on Hugging Face Spaces and exposes a FastAPI server on port 8000.42