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cooling-optimization

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SustainDC is a set of Python environments for Data Center simulation and control using Heterogeneous Multi Agent Reinforcement Learning. Includes customizable environments for workload scheduling, cooling optimization, and battery management, with integration into Gymnasium.

  • Updated Aug 25, 2025
  • HTML

SmartAqua Optimizer 💧🤖 AI-driven cooling and water optimization system for data centers. SmartAqua Optimizer uses machine learning and rule-based optimization to reduce water usage while maintaining efficient thermal cooling. ### 🚀 Features - ML model predicts cooling requirements (RandomForest) - Real-time simulation engine - Water vs A

  • Updated Dec 1, 2025
  • Python

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