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홈뉴스최신 연구 논문튜토리얼데이터셋백과사전SOTALLM 모델GPU 랭킹컨퍼런스
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Univariate Time Series Forecasting On

평가 지표

RRSE

평가 결과

이 벤치마크에서 각 모델의 성능 결과

모델 이름
RRSE
Paper TitleRepository
TPA-LSTM (24 step)0.1006Temporal Pattern Attention for Multivariate Time Series Forecasting-
LST-Skip (3 step)0.0864Modeling Long- and Short-Term Temporal Patterns with Deep Neural Networks-
MTGNN (3 step)0.0745Connecting the Dots: Multivariate Time Series Forecasting with Graph Neural Networks-
TPA-LSTM (3 step)0.0823Temporal Pattern Attention for Multivariate Time Series Forecasting-
LST-Skip (12 step)0.1007Modeling Long- and Short-Term Temporal Patterns with Deep Neural Networks-
LST-Skip (6 step) 0.0931Modeling Long- and Short-Term Temporal Patterns with Deep Neural Networks-
LST-Skip (24 step)0.1007Modeling Long- and Short-Term Temporal Patterns with Deep Neural Networks-
TPA-LSTM (12 step)0.0964Temporal Pattern Attention for Multivariate Time Series Forecasting-
MTGNN (12 step)0.0916Connecting the Dots: Multivariate Time Series Forecasting with Graph Neural Networks-
MTGNN (24 step)0.0953Connecting the Dots: Multivariate Time Series Forecasting with Graph Neural Networks-
MTGNN (6 step)0.0878Connecting the Dots: Multivariate Time Series Forecasting with Graph Neural Networks-
TPA-LSTM (6 step)0.0916Temporal Pattern Attention for Multivariate Time Series Forecasting-
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