1 code implementation • International Work-Conference on Artificial Neural Networks 2023 • Manuel Jesús Jiménez-Navarro, María Martínez-Ballesteros, Francisco Martínez-Álvarez, Gualberto Asencio-Cortés
However, selecting the right features can be challenging for time series models.
1 code implementation • Journal of Big Data 2023 • Manuel Jesús Jiménez-Navarro, María Martínez-Ballesteros, Francisco Martínez-Álvarez & Gualberto Asencio-Cortés
In this work, we develop a new deep learning architecture that obtain an efficacy which compete with the best current architectures in transformer oil temperature forecasting while improve the efficacy.
Ranked #4 on Time Series Forecasting on ETTh2 (24) Univariate (MAE metric)