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What factors predict length of stay in the intensive care unit? Systematic review and meta-analysis

Journal of critical care, 2020-12, Vol.60, p.183-194

2020

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Forecasting mid-long term electric energy consumption through bagging ARIMA and exponential smoothing methods

Energy (Oxford), 2018-02, Vol.144, p.776-788

2018

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A Review on Modeling Variable Renewable Energy: Complementarity and Spatial–Temporal Dependence

Energies (Basel), 2023-01, Vol.16 (3), p.1013

2023

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Hybrid methodology for modeling short-term wind power generation using conditional Kernel density estimation and singular spectrum analysis

Dyna (Medellín, Colombia), 2017, Vol.84 (201), p.145-154

2017

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Including Wind Power Generation in Brazil’s Long-Term Optimization Model for Energy Planning

Energies (Basel), 2019-03, Vol.12 (5), p.826

2019

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A novel reconciliation approach for hierarchical electricity consumption forecasting based on resistant regression

Energy (Oxford), 2023-04, Vol.269, p.126794, Article 126794

2023

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Forecasting natural gas consumption using Bagging and modified regularization techniques

Energy economics, 2022-02, Vol.106, p.105760, Article 105760

2022

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Point and interval forecasting of electricity supply via pruned ensembles

Energy (Oxford), 2021-10, Vol.232, p.121009, Article 121009

2021

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The Use of UAVs in Humanitarian Relief: An Application of POMDP‐Based Methodology for Finding Victims

Production and operations management, 2019-02, Vol.28 (2), p.421-440

2019

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Validation of the representativeness of wind speed time series obtained from reanalysis data for Brazilian territory

Energy (Oxford), 2022-11, Vol.258, p.124746, Article 124746

2022

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Can sustainable investments outperform traditional benchmarks? Evidence from global stock markets

Business strategy and the environment, 2020-02, Vol.29 (2), p.682-697

2020

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An overview of non-Gaussian state-space models for wind speed data

Energy (Oxford), 2023-03, Vol.266, p.126436, Article 126436

2023

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CONDITIONAL PRICING MODEL WITH HETEROSCEDASTICITY: EVALUATION OF BRAZILIAN FUNDS

Revista de Administração de Empresas, 2019-08, Vol.59 (4), p.225-241

2019

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An enhanced set-membership evolving participatory learning with kernel recursive least squares applied to thermal modeling of power transformers

Electric power systems research, 2020-07, Vol.184, p.106334, Article 106334

2020

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Time series analysis with explanatory variables: A systematic literature review

Environmental modelling & software : with environment data news, 2018-09, Vol.107, p.199-209

2018

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Data-driven methodology to predict the ICU length of stay: A multicentre study of 99,492 admissions in 109 Brazilian units

Anaesthesia critical care & pain medicine, 2022-12, Vol.41 (6), p.101142-101142, Article 101142

2022

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A new approach for a drought composite index

Natural hazards (Dordrecht), 2021-08, Vol.108 (1), p.755-773

2021

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A statistical analysis of COVID-19 mortality dynamics: Unraveling the interplay between vaccination trends, socioeconomic factors, and government interventions in Brazilian states

Socio-economic planning sciences, 2024-04, Vol.92, Article 101855

2024

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A Parsimonious Bootstrap Method to Model Natural Inflow Energy Series

Mathematical problems in engineering, 2014-01, Vol.2014, p.1-10

2014

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The stochastic effects on the Brazilian Electrical Sector

Energy economics, 2015-05, Vol.49, p.328-335

2015

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Simulation of Appointment Scheduling Policies: a Study in a Bariatric Clinic

Obesity surgery, 2019-09, Vol.29 (9), p.2824-2830

2019

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Dynamic Associations between GDP and Crude Oil Prices in Brazil: Structural Shifts and Nonlinear Causality

Emerging markets finance & trade, 2021-08, Vol.57 (10), p.2767-2791

2021

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Exploring social media data to understand consumers' perception of eggs: A multilingual study using Twitter

Journal of sensory studies, 2020-12, Vol.35 (6), p.n/a

2020

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A time series model for building scenarios trees applied to stochastic optimisation

International journal of electrical power & energy systems, 2015-05, Vol.67, p.315-323

2015

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Variable step-size evolving participatory learning with kernel recursive least squares applied to gas prices forecasting in Brazil

Evolving systems, 2022, Vol.13 (2), p.297-306

2022

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What factors predict length of stay in the intensive care unit? Systematic review and meta-analysis

Forecasting mid-long term electric energy consumption through bagging ARIMA and exponential smoothing methods

A Review on Modeling Variable Renewable Energy: Complementarity and Spatial–Temporal Dependence

Hybrid methodology for modeling short-term wind power generation using conditional Kernel density estimation and singular spectrum analysis

Including Wind Power Generation in Brazil’s Long-Term Optimization Model for Energy Planning

A novel reconciliation approach for hierarchical electricity consumption forecasting based on resistant regression

Forecasting natural gas consumption using Bagging and modified regularization techniques

Point and interval forecasting of electricity supply via pruned ensembles

The Use of UAVs in Humanitarian Relief: An Application of POMDP‐Based Methodology for Finding Victims

Validation of the representativeness of wind speed time series obtained from reanalysis data for Brazilian territory

Can sustainable investments outperform traditional benchmarks? Evidence from global stock markets

An overview of non-Gaussian state-space models for wind speed data

CONDITIONAL PRICING MODEL WITH HETEROSCEDASTICITY: EVALUATION OF BRAZILIAN FUNDS

An enhanced set-membership evolving participatory learning with kernel recursive least squares applied to thermal modeling of power transformers

Time series analysis with explanatory variables: A systematic literature review

Data-driven methodology to predict the ICU length of stay: A multicentre study of 99,492 admissions in 109 Brazilian units

A new approach for a drought composite index

A statistical analysis of COVID-19 mortality dynamics: Unraveling the interplay between vaccination trends, socioeconomic factors, and government interventions in Brazilian states

A Parsimonious Bootstrap Method to Model Natural Inflow Energy Series

The stochastic effects on the Brazilian Electrical Sector

Simulation of Appointment Scheduling Policies: a Study in a Bariatric Clinic

Dynamic Associations between GDP and Crude Oil Prices in Brazil: Structural Shifts and Nonlinear Causality

Exploring social media data to understand consumers' perception of eggs: A multilingual study using Twitter

A time series model for building scenarios trees applied to stochastic optimisation

Variable step-size evolving participatory learning with kernel recursive least squares applied to gas prices forecasting in Brazil

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