Explainable AI-driven net-zero carbon roadmap for petrochemical industry considering stochastic scenarios of remotely sensed offshore wind energy | ||
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SungKu Heo, Jaerak Ko, SangYoun Kim, Chanhyeok Jeong, Soonho Hwangbo*, ChangKyoo Yoo*, Explainable AI-driven net-zero carbon roadmap for petrochemical industry considering stochastic scenarios of remotely sensed offshore wind energy, Journal of Cleaner Production (ISSN:0959-6526, SCIE, Top 10% journal:Engineering Civil), 379(2), pp.134793 (2022.12) (Ack 4개: NRF2021R1A2C2007838, & CC graduate school& NRF 과제 2개(S.H.Hwangbo):NRF-2021R1F1A1059919, NRF-2020M1A2A2080858) |
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이전글 | Three energy self-sufficient networks of wastewater treatment plants developed by nonlinear bi-level optimization models in Jeju Island | |
다음글 | Explainable multisensor fusion-based automatic reconciliation and imputation of faulty and missing data in membrane bioreactor plants for fouling alleviation and energy saving |