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

53 citations · 53 across the 1 of their papers we have counts for

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1 paper

eess.SY2023★ 53 cited

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 Alabi, Nathan P. Lawrence, Lin Lu +2

The carbon-capturing process with the aid of CO2 removal technology (CDRT) has been recognised as an alternative and a prominent approach to deep decarbonisation. However, the main…