Flexible Deployment of CO2 Hydrogenation based Methanol combining Real Options Theory and Reinforcement Learning
| DC Field | Value | Language |
|---|---|---|
| dc.contributor.author | 이지환 | ko |
| dc.contributor.author | 이재형 | ko |
| dc.date.accessioned | 2022-11-09T01:02:05Z | - |
| dc.date.available | 2022-11-09T01:02:05Z | - |
| dc.date.created | 2022-11-08 | - |
| dc.date.issued | 2022-10-27 | - |
| dc.identifier.citation | 한국화학공학회 2022년도 가을 총회 및 학술대회 | - |
| dc.identifier.uri | http://hdl.handle.net/10203/299392 | - |
| dc.language | English | - |
| dc.publisher | 한국화학공학회 | - |
| dc.title | Flexible Deployment of CO2 Hydrogenation based Methanol combining Real Options Theory and Reinforcement Learning | - |
| dc.type | Conference | - |
| dc.type.rims | CONF | - |
| dc.citation.publicationname | 한국화학공학회 2022년도 가을 총회 및 학술대회 | - |
| dc.identifier.conferencecountry | KO | - |
| dc.identifier.conferencelocation | 부산 벡스코 | - |
| dc.contributor.localauthor | 이재형 | - |
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