Abstract: Accurate forecasting of solar power generation with fine temporal and spatial resolution is vital for the operation of the power grid. However, state-of-the-art approaches that combine ...
Abstract: Graph Neural Networks (GNNs) have demonstrated strong potentials in identifying complex patterns and detecting anomalies in large data. While pre-training has proven highly effective in ...
In July 2023, we gathered diverse stakeholders who were engaging with conflict transformation through experiential learning. The goal of the gathering was to: Deepen our understanding of conflict ...
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