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    Resolving Nonstationary Spectral Information in Wind Speed Time Series Using the Hilbert–Huang Transform 

    Source: Journal of Applied Meteorology and Climatology:;2010:;volume( 049 ):;issue: 002:;page 253
    Author(s): Vincent, Claire; Giebel, Gregor; Pinson, Pierre; Madsen, Henrik
    Publisher: American Meteorological Society
    Abstract: This work is motivated by the observation that large-amplitude wind fluctuations on temporal scales of 1?10 h present challenges for the power management of large offshore wind farms. Wind fluctuations on these scales are ...
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    Generation of Scenarios from Calibrated Ensemble Forecasts with a Dual-Ensemble Copula-Coupling Approach 

    Source: Monthly Weather Review:;2016:;volume( 144 ):;issue: 012:;page 4737
    Author(s): Ben Bouallègue, Zied; Heppelmann, Tobias; Theis, Susanne E.; Pinson, Pierre
    Publisher: American Meteorological Society
    Abstract: robabilistic forecasts in the form of ensembles of scenarios are required for complex decision-making processes. Ensemble forecasting systems provide such products but the spatiotemporal structures of the forecast uncertainty ...
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    Convolutional Encoding and Normalizing Flows: A Deep Learning Approach for Offshore Wind Speed Probabilistic Forecasting in the Mediterranean Sea 

    Source: Artificial Intelligence for the Earth Systems:;2024:;volume( 003 ):;issue: 003
    Author(s): Marcille, Robin; Tandeo, Pierre; Thiébaut, Maxime; Pinson, Pierre; Fablet, Ronan
    Publisher: American Meteorological Society
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