Matheus Henrique Dal Molin Ribeiro

Author

Universidade Tecnológica Federal do Paraná ORCID

Also Known As

M. Ribeiro, MATHEUS HENRIQUE DAL MOLIN RIBEIRO, Mariana Peixoto Ribeiro, Matheus H. D. Ribeiro, Matheus H. D. M. Ribeiro, Matheus H. D. Ribeiro, Matheus Henrique Dal Molin Ribeiro, Matheus Henrique Ribeiro, Matheus Henrique dal Molin Ribeiro, Matheus Ribeiro

Publications

2.5K

Citations

H-Index

Concepts

All Affiliations

Universidade Tecnológica Federal do Paraná Pontifícia Universidade Católica do Paraná Universidade Federal do Paraná Universidade Estadual de Maringá Universidade do Estado de Santa Catarina

About

Matheus Henrique Dal Molin Ribeiro is an author at Universidade Tecnológica Federal do Paraná specializing in engineering, forecasting, and data science.

Top Concepts

#	Concept	H-Index	Publications	Citations
1	Engineering	17	17	1.8K
2	Medicine	5	5	608
3	Business	1	1	27
4	Health Sciences	1	1	54
5	Management	1	1	510

Matheus Henrique Dal Molin Ribeiro

Publications

2.5K

Citations

H-Index

Page 1

	Year	Citations
Ensemble approach based on bagging, boosting and stacking for short-term prediction in agribusiness time series Matheus Henrique Dal Molin Ribeiro, Leandro dos Santos Coelho Applied Soft Computing Forecasting MethodologyEngineeringMachine LearningEnsemble ApproachAgribusiness Time Series	2019	510
Short-term forecasting COVID-19 cumulative confirmed cases: Perspectives for Brazil Matheus Henrique Dal Molin Ribeiro, Ramon Gomes da Silva, Viviana Cocco Mariani, Chaos Solitons & Fractals Emerging Infectious DiseasesGlobal HealthGlobal Health CrisisCovid-19 PandemicCovid-19 Epidemiology	2020	495
A novel decomposition-ensemble learning framework for multi-step ahead wind energy forecasting Ramon Gomes da Silva, Matheus Henrique Dal Molin Ribeiro, Sinvaldo Rodrigues Moreno, Energy Forecasting MethodologyProbabilistic ForecastingEngineeringData SciencePredictive Analytics	2020	177
Efficient bootstrap stacking ensemble learning model applied to wind power generation forecasting Matheus Henrique Dal Molin Ribeiro, Ramon Gomes da Silva, Sinvaldo Rodrigues Moreno, International Journal of Electrical Power & Energy Systems Forecasting MethodologyProbabilistic ForecastingEngineeringEfficient BootstrapSmart Grid	2021	158
Forecasting Brazilian and American COVID-19 cases based on artificial intelligence coupled with climatic exogenous variables Ramon Gomes da Silva, Matheus Henrique Dal Molin Ribeiro, Viviana Cocco Mariani, Chaos Solitons & Fractals Artificial IntelligenceClimatologyForecasting MethodologyClimatic Exogenous VariablesEngineering	2020	130
Wavelet group method of data handling for fault prediction in electrical power insulators Stéfano Frizzo Stefenon, Matheus Henrique Dal Molin Ribeiro, Ademir Nied, International Journal of Electrical Power & Energy Systems Fault DiagnosisElectrical EngineeringReliability EngineeringEngineeringFault Analysis	2020	106
Time series forecasting using ensemble learning methods for emergency prevention in hydroelectric power plants with dam Stéfano Frizzo Stefenon, Matheus Henrique Dal Molin Ribeiro, Ademir Nied, Electric Power Systems Research Forecasting MethodologyProbabilistic ForecastingEngineeringMachine LearningData Science	2021	99
Hybrid Wavelet Stacking Ensemble Model for Insulators Contamination Forecasting Stéfano Frizzo Stefenon, Matheus Henrique Dal Molin Ribeiro, Ademir Nied, IEEE Access Environmental MonitoringEngineeringDiagnosisFault ForecastingData Assimilation	2021	93
Multi-step short-term wind speed forecasting based on multi-stage decomposition coupled with stacking-ensemble learning approach Ramon Gomes da Silva, Sinvaldo Rodrigues Moreno, Matheus Henrique Dal Molin Ribeiro, International Journal of Electrical Power & Energy Systems Stacking-ensemble Learning ApproachMeteorologyForecasting MethodologyProbabilistic ForecastingEngineering	2022	91
Electricity Price Forecasting Based on Self-Adaptive Decomposition and Heterogeneous Ensemble Learning Matheus Henrique Dal Molin Ribeiro, Stéfano Frizzo Stefenon, José Donizetti de Lima, Energies Forecasting MethodologyEngineeringMachine LearningData ScienceStatistics	2020	87

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