Tecnologías Eléctricas Sostenibles y Renovables
TEP023
Universidade Federal do Ceará
Fortaleza, BrasilPublicacións en colaboración con investigadores/as de Universidade Federal do Ceará (11)
2023
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Optimizing methodologies of hybrid renewable energy systems powered reverse osmosis plants
Renewable and Sustainable Energy Reviews, Vol. 182
2022
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A Comparison Between Deep Learning and Support Vector Regression Techniques Applied to Solar Forecast in Spain
Journal of Solar Energy Engineering, Transactions of the ASME, Vol. 144, Núm. 1
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Methodology for integration of wind resource forecasts based on artificial neural networks
International Journal of Energy Research, Vol. 46, Núm. 6, pp. 8271-8287
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Ridge regression ensemble of machine learning models applied to solar and wind forecasting in Brazil and Spain
Applied Energy, Vol. 314
2020
2019
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An Application of the Multi-Port Bidirectional Three-Phase AC-DC Converter in Electric Vehicle Charging Station Microgrid
2019 IEEE 15th Brazilian Power Electronics Conference and 5th IEEE Southern Power Electronics Conference, COBEP/SPEC 2019
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Comparative analysis of photovoltaic modules center and edge temperature using iot embedded system
Renewable Energy and Power Quality Journal, Vol. 17, pp. 198-207
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IoT monitoring systems applied to photovoltaic generation: The relevance for increasing decentralized plants
Renewable Energy and Power Quality Journal, Vol. 17, pp. 536-545
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Radial basis function for solar irradiance forecasting in equatorial areas
Renewable Energy and Power Quality Journal, Vol. 17, pp. 280-287
2018
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Land requirement scenarios of PV plants in Brazil
Renewable Energy and Power Quality Journal, Vol. 1, Núm. 16, pp. 170-174
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MLP back propagation artificial neural network for solar resource forecasting in equatorial areas
Renewable Energy and Power Quality Journal, Vol. 1, Núm. 16, pp. 175-180