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What is Gaussian Process Load Forecasting Model about?

This paper presents a Gaussian process quantile regression (GPQR) model for power load probability density forecasting, addressing the uncertainties in load predictions due to various external factors. The model is evaluated using real datasets from the PJM electric power company, demonstrating improved prediction intervals and forecasting accuracy compared to traditional methods. The study highlights the effectiveness of GPQR in providing a comprehensive probabilistic distribution of future power demand, w

Author

1289922836

Language

EN