Análisis de Datos, Modelos Estocásticos y Optimización
ANDAMO
National Renewable Energy Laboratory
Golden, Estados UnidosNational Renewable Energy Laboratory-ko ikertzaileekin lankidetzan egindako argitalpenak (4)
2018
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Identification of linearised RMS-voltage dip patterns based on clustering in renewable plants
IET Generation, Transmission and Distribution, Vol. 12, Núm. 6, pp. 1256-1262
2017
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Approach to fitting parameters and clustering for characterising measured voltage dips based on two-dimensional polarisation ellipses
IET Renewable Power Generation, Vol. 11, Núm. 10, pp. 1335-1343
2016
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Probability density function characterization for aggregated large-scalewind power based on Weibull mixtures
Energies, Vol. 9, Núm. 2, pp. 1-15
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Statistical and Clustering Analysis for Disturbances: A Case Study of Voltage Dips in Wind Farms
IEEE Transactions on Power Delivery, Vol. 31, Núm. 6, pp. 2530-2537