A PPO agent with LSTM and temporal attention manages renewable energy in data centers, reporting 38% lower costs than heuristics and 4.6% better than other DRL methods with 1.5% SLA violations.
The flexibility pathways for integrating re- newable energy into china’s coal dominated power system: the case of beijing-tianjin-hebei region,
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Green Energy Management for Sustainable Data Centers Using Deep Reinforcement Learning
A PPO agent with LSTM and temporal attention manages renewable energy in data centers, reporting 38% lower costs than heuristics and 4.6% better than other DRL methods with 1.5% SLA violations.