Dynamic optimisation of CO<sub>2</sub> electrochemical reduction processes driven by intermittent renewable energy: hybrid deep learning approach
The increasing demand for net zero solutions has prompted the exploration of electrochemical CO2 reduction reaction (eCO2RR) systems powered by renewable energy sources. Here, we present a comprehensive AI-enabled framework for the adaptive optimisation of the dynamic eCO2RR processes in response to...
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| Main Authors: | , , , , , , |
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| Format: | Default Article |
| Published: |
2023
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| Subjects: | |
| Online Access: | https://hdl.handle.net/2134/24981987.v1 |
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