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Session
  • Presentation | A13K: Advancing AI and Machine Learning for Improved Subseasonal-to-Seasonal (S2S) Forecast Skill I Poster
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  • A13K-1818: Analysis of the feasibility of deep learning models for subseasonal solar and wind forecasting based on time-series patterns
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  • Board 1818‚ Hall EFG (Poster Hall)
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Author(s):
Myeongchan Oh, Korea Institute of Energy Research, Renewable Energy Big Data Laboratory (First Author, Presenting Author)
Donggun Oh, Korea Institute of Energy Research, Renewable Energy Big Data Laboratory
Minkyu Lee, Korea Institute of Energy Research
Chang Kim, Korea Institute of Energy Research

Scientific Discipline
Neighborhood
Type
Main Session
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