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About this paper
Zhongxia Zhang, Meng Wu
Zhang and Wu recast next-hour zonal real-time locational marginal price forecasting as predicting hourly frames built from public market data across locations. A convolutional generative adversarial model predicts the next frame, with an autoregressive moving average correction. In ISO New England, its 2018 Vermont forecasts had 11.03% MAPE. Tests cover zonal prices, while SPP results show missed spike magnitudes.
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