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> Publications > Paper| A deep learning-based forecasting model for renewable energy scenarios to guide sustainable energy policy: A case study of Korea | ||
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KiJeon Nam†, Soonho Hwanbo†, and ChangKyoo Yoo*, A deep learning-based forecasting model for renewable energy scenarios to guide sustainable energy policy: A case study of Korea, Renewable and Sustainable Energy Reviews (ISSN: 1364-0321, SCI, IF=10.5, Top 1 journal-green&sustainable science & technology), 122(4), 109725(pp.1-18), (2020.04) (Ack:2017R1E1A1A03070713) |
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| 이전글 | Multi-objective decision-making and optimal sizing of a hybrid renewable energy system to meet the dynamic energy demands of a wastewater treatment plant | |
| 다음글 | Soft sensor validation for monitoring and resilient control of sequential subway indoor air quality through memory-gated recurrent neural networks-based autoencoders | |