Abstract: Power electronics systems (PESs) are crucial for energy conversion and control in various sectors, such as aerospace, renewable energy, and electric vehicles. Health monitoring using digital ...
Abstract: In this paper, we propose a meta-optimizer-based approach for probabilistic wind power forecasting (WPF) with limited historical data, including offline training and online adaptation ...
This is the official repository of the paper "TabM: Advancing Tabular Deep Learning With Parameter-Efficient Ensembling". It consists of two parts: One dot represents a performance score on one ...
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