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Automated deep reinforcement learning for real-time scheduling strategy of multi-energy system integrated with post-carbon and direct-air carbon captured system.

Tobi Michael AlabiNathan P. LawrenceLin LuZaiyue YangR. Bhushan Gopaluni
Published in: CoRR (2023)
Keyphrases
  • real time
  • carbon dioxide
  • scheduling strategy
  • reinforcement learning
  • robotic control
  • scheduling algorithm
  • databases
  • state space
  • quality of service
  • learning algorithm
  • energy consumption
  • climate change