Traditional load-forecasting methods rely heavily on extensive historical data to predict future values, thus limiting their applicability in long-term forecasts where historical data may be ...
Conformal prediction provides a nonparametric framework for generating statistically valid prediction intervals or sets under minimal assumptions. At its core is the calibration of model outputs ...
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