EMGRL, an actor-critic ensemble of ARIMA, LightGBM, LSTM, and SGNN with a GNN-based spatial state embedding, is claimed to beat baselines on NREL and GEFC wind datasets.
#!=饾憙! (1) where the wind power 饾憙!
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Applying Ensemble Models based on Graph Neural Network and Reinforcement Learning for Wind Power Forecasting
EMGRL, an actor-critic ensemble of ARIMA, LightGBM, LSTM, and SGNN with a GNN-based spatial state embedding, is claimed to beat baselines on NREL and GEFC wind datasets.