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Achieving high-quality time series forecasting with just a few examples, MetaCaster revolutionizes the way lightweight forecasters are trained in data-scarce environments.
Existing power outage prediction models fail to account for spatial weather patterns, but this new approach leverages graph neural networks and contrastive learning to substantially improve prediction accuracy.
