SA-HGNN with contrastive learning improves power outage prediction by modeling spatial effects of extreme weather on infrastructure across multiple utility territories.
IEEE Access 9, 108190–108198
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Survey of Chinese math teacher trainees finds basic AI-TPACK levels, self-efficacy helps, and strong teaching beliefs may hinder progress.
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Empowering Power Outage Prediction with Spatially Aware Hybrid Graph Neural Networks and Contrastive Learning
SA-HGNN with contrastive learning improves power outage prediction by modeling spatial effects of extreme weather on infrastructure across multiple utility territories.
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Survey of Chinese math teacher trainees finds basic AI-TPACK levels, self-efficacy helps, and strong teaching beliefs may hinder progress.