Partial Transfer Learning from Patch Transformer to Variate-Based Linear Forecasting Model.

LH Anh, DT Vu, S Oh, GH Yu, NBN Han… - Energies …, 2024 - search.ebscohost.com
Transformer-based time series forecasting models use patch tokens for temporal patterns
and variate tokens to learn covariates' dependencies. While patch tokens inherently facilitate …

ChronoPatternNet: Revolutionizing Electricity Consumption Forecasting with Advanced Temporal Pattern Recognition and Efficient Computational Design

SC Lee, GH Yu, JY Kim - 디지털콘텐츠학회논문지, 2024 - dbpia.co.kr
ChronoPatternNet revolutionizes power forecasting using a unique 2D convolutional
approach for advanced temporal pattern recognition. The'chronocycle'hyperparameter …