Search Results - "de O. Santos, Domingos S."

Hybrid systems using residual modeling for sea surface temperature forecasting by de Mattos Neto, Paulo S. G., Cavalcanti, George D. C., de O. Santos Júnior, Domingos S., Silva, Eraylson G.

“…The sea surface temperature (SST) is an environmental indicator closely related to climate, weather, and atmospheric events worldwide. Its forecasting is…”
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An intelligent hybridization of ARIMA with machine learning models for time series forecasting by de O. Santos Júnior, Domingos S., de Oliveira, João F.L., de Mattos Neto, Paulo S.G.

“…The development of accurate forecasting systems can be challenging in real-world applications. The modeling of real-world time series is a particularly…”
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Forecasting Methods for Photovoltaic Energy in the Scenario of Battery Energy Storage Systems: A Comprehensive Review by de Oliveira, João Fausto L., de Mattos Neto, Paulo S. G., Siqueira, Hugo Valadares, Santos, Domingos S. de O., Lima, Aranildo R., Madeiro, Francisco, Dantas, Douglas A. P., Cavalcanti, Mariana de Morais, Pereira, Alex C., Marinho, Manoel H. N.

“…The worldwide appeal has increased for the development of new technologies that allow the use of green energy. In this category, photovoltaic energy (PV)…”
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Solar Irradiance Forecasting Using Dynamic Ensemble Selection by de O. Santos, Domingos S., de Mattos Neto, Paulo S. G., de Oliveira, João F. L., Siqueira, Hugo Valadares, Barchi, Tathiana Mikamura, Lima, Aranildo R., Madeiro, Francisco, Dantas, Douglas A. P., Converti, Attilio, Pereira, Alex C., de Melo Filho, José Bione, Marinho, Manoel H. N.

“…Solar irradiance forecasting has been an essential topic in renewable energy generation. Forecasting is an important task because it can improve the planning…”
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Potential assessment of the TVF-EMD algorithm in forecasting hourly global solar radiation: Review and case studies by Guermoui, Mawloud, Gairaa, Kacem, Ferkous, Khaled, Santos, Domingos S. de O., Arrif, Toufik, Belaid, Abdelfetah

“…Accurate and effective forecasting of short-term global solar radiation is critical for the development of photovoltaic systems, particularly for integration…”
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An adaptive hybrid system using deep learning for wind speed forecasting by de Mattos Neto, Paulo S.G., de Oliveira, João F.L., de O. Santos Júnior, Domingos S., Siqueira, Hugo Valadares, Marinho, Manoel H.N., Madeiro, Francisco

“…The integration of wind power with traditional electricity grids is challenging because of the volatile and intermittent nature of wind speed. Consequently,…”
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A hybrid system based on ensemble learning to model residuals for time series forecasting by Santos Júnior, Domingos S. de O., de Mattos Neto, Paulo S.G., de Oliveira, João F.L., Cavalcanti, George D.C.

“…The time series forecasting literature has highlighted the accuracy of hybrid systems that combine statistical linear and Machine Learning (ML) models by…”
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Improving the accuracy of intelligent forecasting models using the Perturbation Theory by Silva, Eraylson. G., de O. Juunior, Domingos S., Cavalcanti, George D. C., de Mattos Neto, Paulo S. G.

“…In time series analysis and forecasting, machine learning (ML) models have been widely used due to their flexibility and accuracy. However, the tuning process…”
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