Here, we list just a few examples of articles that include the participation of researchers from CER-UFPE.
Fault detection framework in wind turbine pitch systems using machine learning: Development, validation, and results.
de Lima Munguba, C. F., Ochoa, A. A. V., Leite, G. D. N. P., et al. Engineering Applications of Artificial Intelligence, 138, 109307.Ensemble learning framework for fleet-based anomaly detection using wind turbine drivetrain components vibration data.
de Lima Munguba, C. F., Leite, G. D. N. P., Farias, F. C., et al. Engineering Applications of Artificial Intelligence, 133, 108363.Trends and drivers of CO2 parameters, from 2006 to 2021, at a time-series station in the Eastern Tropical Atlantic (6°S, 10°W).
Lefévre, N.; Veleda, D.; Beaumont, L. Frontiers in Marine Science, 11, 1-14.Aerodynamic interference caused by wake effects of repowered wind farms on the annual energy production in neighboring wind farms.
Dias Da Silva, A. I. R., et al. Sustainable Energy Technologies and Assessments, 64, 103704.Remaining useful life estimation framework for the main bearing of wind turbines operating in real time.
Vieira, J. L. M., et al. Energies, 17, 1430.Analytic optical evaluation of linear aplanatic solar Fresnel reflectors.
Souza, L.F.L., Fraidenraich, N., Tiba, C., Gordon, J. M. Solar Energy, 249, 107-121.Evaluation of front and backside performances of a large surface organic photovoltaic module under bifacial illumination.
Galdino, J. J. B., et al. Solar Energy Materials and Solar Cells, 257, 112359.A robust fleet-based anomaly detection framework applied to wind turbine vibration data.
Leite, G. D. N. P., et al. Engineering Applications of Artificial Intelligence, 126, 106859.Vector representation and machine learning for short-term photovoltaic power prediction.
Costa, R., Costa, A., Vilela, O., & Ren, T. I. IEEE (SMC) (pp. 1241-1246).Enhancement of multijunction solar cell efficiency using a cover layer of doped glasses as spectral converter.
Mattos, G.R.S., et al. Optical Materials, 132, 112833.Wind resource assessment in building environment: benchmarking of numerical approaches.
Paula, C., et al. Wind, 2(4), 659-690.Wind power forecast based on transformers and clustering of wind farms with temporal and spatial interdependence.
Lima, F., Ren, T. I., & Costa, A. IEEE (IJCNN) (pp. 01-06).Exploring quantum machine learning and feature reduction techniques for wind turbine pitch fault detection.
Correa-Jullian, C., et al. Energies, 15(8), 2792.npTrack: A n-Position Single Axis Solar Tracker Model for Optimized Energy Collection.
De Sá Campos, M. H., Tiba, C. Energies, 14, 925.A review on the complementarity between grid-connected solar and wind power systems.
Weschenfelder, F., et al. Journal of Cleaner Production, 257, 120617.Solar irradiance time series derived from high-quality measurements and satellite-based models.
Salazar, G., et al. Renewable and Sustainable Energy Reviews, 117, 109478.Aplanats and analytic modeling of their optical properties for linear solar concentrators with tubular receivers.
Gomes, E. T. A., et al. Solar Energy, 191, 697-706.Ocean-atmosphere feedback during extreme rainfall events in eastern Northeast Brazil.
Silva, T. L. V., et al. Journal of Applied Meteorology and Climatology, 57, 1211-1229.Amazon Plume salinity response to ocean teleconnections.
Tyaquiçã, P., et al. Frontiers in Marine Science, 4, 250.Improved analytic modeling and experimental validation for brackish-water reverse-osmosis desalination.
Fraidenraich, N., et al. Desalination, 380, 60-65.Specific energy consumption of PV reverse osmosis systems. Experiment and theory.
Fraidenraich, N., et al. Progress in Photovoltaics, 21(4), 612-619.A review on the young history of the wind power short-term prediction.
Costa, A., et al. Renewable and Sustainable Energy Reviews, 12, 1725-1744.Simulation and characterization of spectral irradiance using meteorological variables.
Galdino, J. PROTEN-UFPE (in Portuguese)Preprocessing methodology based on spectral complementarity for short-term wind and solar forecasting.
Perruci, V. PROTEN-UFPE (in Portuguese)Modeling and forecasting short-term solar irradiance fluctuations.
Campos Filho, M. H. ROTEN-UFPE (in Portuguese)Forecast of solar radiation and ambient temperature assisting PV plants operation.
Sabino, E. PROTEN-UFPE (in Portuguese)Modeling and performance assessment of aplanat solar concentrator.
Torres, E. PROTEN-UFPE (in Portuguese)Assessment of the complementarity of wind and solar resources under climate change scenarios.
Weschenfelder, F. PPGEM-UFPE (in Portuguese)Fault diagnosis in wind turbine components through information theory quantifiers.
Leite, G. PPGEM-UFPE (in Portuguese)Methodology for selecting wind turbine testing areas.
Oliveira Filho, O. D. PPGEM-UFPE (in Portuguese)New approach for determining solar flux density in linear concentrator absorbers.
Pedrosa Filho, M. H. PROTEN-UFPE (in Portuguese)Deep learning models for prognosis of the remaining useful life of wind turbine bearings.
Souza, O. PPGCC-UFPE (in Portuguese)Fault identification and reliability analysis of tracking systems in PV plants.
Barboza, L. PROTEN-UFPE (in Portuguese)Transformer-based neural network for short-term photovoltaic and wind power prediction.
Costa, R. PPGCC-UFPE (in English)Evaluation of models used to estimate the energy generation of a PV plant in semiarid region.
Medeiros, J. V. PROTEN-UFPE (in Portuguese)Classification and regression procedure applied to site adaptation of solar radiation.
Miranda, D. PROTEN-UFPE (in Portuguese)Fault detection and isolation in wind turbines using SCADA system data.
Brennand, L. PROTEN-UFPE (in Portuguese)Selection and evaluation of temporal components in statistical downscaling.
Alves, P. P. PROTEN-UFPE (in Portuguese)Responses of CO2 fluxes to eddies of the North Brazil Current.
Aroucha, L. PPGO-UFPE (in Portuguese)Coupled modeling applied to monitoring the island effect in Fernando de Noronha.
Lopes, F. PPGO-UFPE (in Portuguese)Statistical downscaling of local wind based on objective definition of regressor variables.
Dantas, G. PROTEN-UFPE (in Portuguese)Local wind characterization based on planetary boundary layer and CFD modeling.
Pereira, C. PROTEN-UFPE (in Portuguese)Environmental conditions in the Sobradinho reservoir in the context of floating PV.
Bacelar, T. PROTEN-UFPE (in Portuguese)Short-term real-time wind power forecasting based on observational data and NWP.
Lima, F. PPGEM-UFPE (in Portuguese)Very short-term wind power forecasting based on spectral analysis.
Cabral, L. PPGEM-UFPE (in Portuguese)Wind farm ramp forecasting.
Clemente, J. PROTEN-UFPE (in Portuguese)Analysis of complementarity between statistical techniques for local wind behavior.
Perruci, V. PROTEN-UFPE (in Portuguese)Evaluation of energy production in organic photovoltaic cells under bifacial illumination.
Galdino, J. (in Portuguese)Fault detection and diagnosis with respect to wind turbines power performance.
Pedrosa, G. PPGEM-UFPE (in Portuguese)Objective procedure for quality assurance of observational wind data on the coast of RN.
Moraes, C. PPGEM-UFPE (in Portuguese)