Abstract: Traditional models based on electroencephalographic (EEG) signals for seizure monitoring encounter difficulties in simultaneously optimizing accuracy, response latency, and computational ...
Abstract: Short-term building-level load forecasting is significant for enhancing the stability and efficiency of power grids. Despite the superior forecasting performance, machine learning methods ...
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