Publicaciones en colaboración con investigadores/as de Universidad de Castilla-La Mancha (12)

2021

  1. Fault Evolution Monitoring of an In-Service Wind Turbine DFIG Using Windowed Scalogram Difference

    IEEE Access, Vol. 9, pp. 90118-90125

2019

  1. Vertical Wind Profile Characterization and Identification of Patterns Based on a Shape Clustering Algorithm

    IEEE Access, Vol. 7, pp. 30890-30904

2018

  1. 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

  1. 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

  2. Optimization of geometric parameters in a welded joint through response surface methodology

    Construction and Building Materials, Vol. 154, pp. 105-114

2016

  1. Probability density function characterization for aggregated large-scalewind power based on Weibull mixtures

    Energies, Vol. 9, Núm. 2, pp. 1-15

2015

  1. A decentralized wireless solution to monitor and diagnose PV solar module performance based on symmetrized-shifted gompertz functions

    Sensors (Switzerland), Vol. 15, Núm. 8, pp. 18459-18479

  2. A new solar module modeling for PV applications based on a symmetrized and shifted Gompertz model

    IEEE Transactions on Energy Conversion, Vol. 30, Núm. 1, pp. 51-59

  3. Estimation of vertical wind speed profiles based on alternatives approaches

    European Wind Energy Association Annual Conference and Exhibition 2015, EWEA 2015 - Scientific Proceedings

2011

  1. CdTe Thin-Film Solar Module modeling using a Non-Linear Regression approach

    17th Power Systems Computation Conference, PSCC 2011

  2. Modeling aluminum smelter plants using sliced inverse regression with a view towards load flexibility

    IEEE Transactions on Power Systems, Vol. 26, Núm. 1, pp. 282-293

  3. Probabilistic characterization of thermostatically controlled loads to model the impact of demand response programs

    IEEE Transactions on Power Systems, Vol. 26, Núm. 1, pp. 241-251