Abstract: This paper presents an innovative approach for personalized modeling of Head-Related Transfer Functions (HRTFs) using deep neural networks (DNNs), with a primary focus on addressing ...
Abstract: Ultra-short-term photovoltaic (PV) power forecasting holds significant importance in enhancing grid stability. Most PV power forecasting methods based on satellite images rely on pixel-level ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results