GitHub topics: cooling-optimization
HewlettPackard/dc-rl
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.
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Related Keywords
battery-management
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benchmark
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benchmarking
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benchmarking-framework
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carbon-footprint
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cooling-optimization
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data-center
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data-center-management
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energy-efficiency
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gymnasium
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gymnasium-environment
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heterogeneous-reinforcement-learning
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machine-learning
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multi-agent-reinforcement-learning
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python
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reinforcement-learningmulti-agent-systems
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sustainability
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sustainable-computing
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workload-scheduling
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