Abstract: Accurate oil temperature prediction is critical for condition assessment of power transformers. To address the limitations of conventional models in accuracy and robustness, we propose ...
Abstract: This study investigates a prediction model for time series data based upon deep learning techniques, addressing the challenges of efficient processing and precise prediction of time series ...