Abstract: Traditional electrical load forecasting often relies on macro approaches to analyzing historical data (time series) and energy consumption patterns (sectoral), which do not account for ...
Abstract: Spatiotemporal graph neural networks (STGNNs) have been adopted for predictive analysis in various scientific domains. Despite their promising performance, the dominance of big ...
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