Publicaciones (32) Publicaciones de Ainhoa Galarza Rodríguez

2023

  1. Ensemble forecaster based on the combination of time-frequency analysis and machine learning strategies for very short-term wind speed prediction

    Electric Power Systems Research, Vol. 214

2022

  1. A Scalable Control Strategy for CHB Converters in Photovoltaic Applications

    Energies, Vol. 15, Núm. 1

  2. Forecasting intra-hour solar photovoltaic energy by assembling wavelet based time-frequency analysis with deep learning neural networks

    International Journal of Electrical Power and Energy Systems, Vol. 137

  3. Using deep learning and meteorological parameters to forecast the photovoltaic generators intra-hour output power interval for smart grid control

    Energy, Vol. 239

  4. Very short-term parametric ambient temperature confidence interval forecasting to compute key control parameters for photovoltaic generators

    Sustainable Energy Technologies and Assessments, Vol. 51

2021

  1. A very short-term probabilistic prediction interval forecaster for reducing load uncertainty level in smart grids

    Applied Sciences (Switzerland), Vol. 11, Núm. 6

  2. Ensemble of machine learning and spatiotemporal parameters to forecast very short-term solar irradiation to compute photovoltaic generators’ output power

    Energy, Vol. 229

  3. Very short-term temperature forecaster using MLP and N-nearest stations for calculating key control parameters in solar photovoltaic generation

    Sustainable Energy Technologies and Assessments, Vol. 45

2020

  1. Very short-term load forecaster based on a neural network technique for smart grid control

    Energies, Vol. 13, Núm. 19

  2. Very short-term wind power density forecasting through artificial neural networks for microgrid control

    Renewable Energy, Vol. 145, pp. 1517-1527

2019

  1. Optimization of a solar irradiation forecasting tool based on artificial intelligence

    Renewable Energy and Power Quality Journal, Vol. 17, pp. 62-67

2018

  1. An Ensemble of Component-Based and Population-Based Self-Organizing Maps for the Identification of the Degradation State of Insulated-Gate Bipolar Transistors

    IEEE Transactions on Reliability, Vol. 67, Núm. 3, pp. 1304-1313

  2. Predicting solar energy generation through artificial neural networks using weather forecasts for microgrid control

    Renewable Energy, Vol. 126, pp. 855-864

2016

  1. Analysis of the Results of Accelerated Aging Tests in Insulated Gate Bipolar Transistors

    IEEE Transactions on Power Electronics, Vol. 31, Núm. 11, pp. 7953-7962

  2. Identification of the degradation state for condition-based maintenance of insulated gate bipolar transistors: A self-organizing map approach

    Microelectronics Reliability, Vol. 60, pp. 48-61

  3. Particle Filter-Based Prognostics for an Electrolytic Capacitor Working in Variable Operating Conditions

    IEEE Transactions on Power Electronics, Vol. 31, Núm. 2, pp. 1567-1575

2015

  1. A method for optimal sizing energy storage systems for microgrids

    Renewable Energy, Vol. 77, pp. 539-549

  2. A self-organizing map-based monitoring system for insulated gate bipolar transistors operating in fully electric vehicle

    Proceedings of the Annual Conference of the Prognostics and Health Management Society, PHM

  3. HEMIS Project (Electrical Powertrain HEalth Monitoring for Increased Safety of FEVs): Limitations of Electromagnetic Standards for Vehicles Equipped with Electrical Powertrain

    Lecture Notes in Mobility (Springer Science and Business Media Deutschland GmbH), pp. 105-115

  4. Optimal scheduling of a microgrid with a fuzzy logic controlled storage system

    International Journal of Electrical Power and Energy Systems, Vol. 68, pp. 61-70