Gabriel Trierweiler Ribeiro

Author

Pontifícia Universidade Católica do Paraná ORCID

Also Known As

Gabriel G. Ribeiro, Gabriel Ribeiro, Gabriel Trierweiler Ribeiro, Ribeiro, Gabriel

Publications

432

Citations

H-Index

Concepts

All Affiliations

Pontifícia Universidade Católica do Paraná Universidade Federal do Paraná

About

Gabriel Trierweiler Ribeiro is an author at Pontifícia Universidade Católica do Paraná specializing in forecasting, engineering, and data science.

Top Concepts

#	Concept	H-Index	Publications	Citations
1	Engineering	5	5	326
2	Data Science	4	4	270
3	Computer Science	2	2	58
4	Business	1	1	56
5	Economics	1	1	56

Gabriel Trierweiler Ribeiro

Publications

432

Citations

H-Index

Page 1

	Year	Citations
Enhanced ensemble structures using wavelet neural networks applied to short-term load forecasting Gabriel Trierweiler Ribeiro, Viviana Cocco Mariani, Leandro dos Santos Coelho Engineering Applications of Artificial Intelligence Forecasting MethodologyEnhanced Ensemble StructuresEngineeringMachine LearningData Science	2019	141
Novel hybrid model based on echo state neural network applied to the prediction of stock price return volatility Gabriel Trierweiler Ribeiro, André Alves Portela Santos, Viviana Cocco Mariani, Expert Systems with Applications Intelligent ForecastingNovel Hybrid ModelForecasting	2021	106
Cooperative ensemble learning model improves electric short-term load forecasting Matheus Henrique Dal Molin Ribeiro, Ramon Gomes da Silva, Gabriel Trierweiler Ribeiro, Chaos Solitons & Fractals EngineeringData ScienceSmart GridEnergy ManagementPredictive Analytics	2022	71
Agribusiness time series forecasting using Wavelet neural networks and metaheuristic optimization: An analysis of the soybean sack price and perishable products demand Weslly Puchalsky, Gabriel Trierweiler Ribeiro, Claudimar Pereira da Veiga, International Journal of Production Economics Forecasting MethodologyEconomicsPrecision AgricultureEngineeringAgribusiness Time Series	2018	56
Bayesian Optimized Echo State Network Applied to Short-Term Load Forecasting Gabriel Trierweiler Ribeiro, João Guilherme Sauer, Naylene Fraccanabbia, Energies Forecasting MethodologyProbabilistic ForecastingEngineeringMachine LearningData Science	2020	46
Short-term load forecasting using wavenet ensemble approaches Gabriel Trierweiler Ribeiro, Marcos Cesar Gritti, Helon Vicente Hultmann Ayala, Forecasting MethodologyEngineeringMachine LearningSmart GridData Science	2016	12

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