A spatio-temporal graph convolutional network predicts dynamic distribution factors to enable efficient multi-transmission-node DER aggregation and real-time economic dispatch on large power systems.
Impact of FERC Order 2222 on DER participation rules in US electricity markets
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A Spatio-Temporal Graph Learning Approach to Real-Time Economic Dispatch with Multi-Transmission-Node DER Aggregation
A spatio-temporal graph convolutional network predicts dynamic distribution factors to enable efficient multi-transmission-node DER aggregation and real-time economic dispatch on large power systems.