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Enhanced Probabilistic Spatiotemporal Wind Speed Forecasting Based on Deep Learning, Quantile Regression, and Error Correction
Publisher: ASCE
Abstract: Developing wind speed forecasting is a prerequisite for the safe and effective utilization of wind power. In this study, an enhanced spatiotemporal wind speed forecasting model is proposed for short-term wind speed prediction, ...
Improved Hidden Markov Model Incorporated with Copula for Probabilistic Seasonal Drought Forecasting
Publisher: ASCE
Abstract: Drought is a natural hazard driven by extreme macroclimatic variability, and generally resulting in serious damage to the environment over a sizable area. Accurate, reliable, and timely forecasting of drought behavior plays ...