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    Enhanced Probabilistic Spatiotemporal Wind Speed Forecasting Based on Deep Learning, Quantile Regression, and Error Correction 

    Source: Journal of Energy Engineering:;2022:;Volume ( 148 ):;issue: 002:;page 04022004
    Author(s): Shuang Zhu; Xudong Chen; Xiangang Luo; Kai Luo; Jianan Wei; Jiang Li; Yanping Xiong
    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, ...
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    Improved Hidden Markov Model Incorporated with Copula for Probabilistic Seasonal Drought Forecasting 

    Source: Journal of Hydrologic Engineering:;2020:;Volume ( 025 ):;issue: 006
    Author(s): Shuang Zhu; Xiangang Luo; Si Chen; Zhanya Xu; Hairong Zhang; Zuxiang Xiao
    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 ...
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    DSpace software copyright © 2002-2015  DuraSpace
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