PUBLICATIONS

PAPER

HOME > Publications > Paper
A deep learning-based forecasting model for renewable energy scenarios to guide sustainable energy policy: A case study of Korea
  • 관리자
  • |
  • 167
  • |
  • 2022-07-08

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)

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