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Understanding perceptions and beliefs about different types of fermented milks through the application of projective techniques: A case study using Haire's shopping list and free word association

Journal of sensory studies, 2018-06, Vol.33 (3), p.n/a

2018

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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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Componentnet: Processing U- and V-components for spatio-Temporal wind speed forecasting

Electric power systems research, 2021-03, Vol.192, p.106922, Article 106922

2021

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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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No-shows in appointment scheduling – a systematic literature review

Health policy (Amsterdam), 2018-04, Vol.122 (4), p.412-421

2018

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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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Joint Modeling of Wind Speed and Power via a Nonparametric Approach

Energies (Basel), 2024-07, Vol.17 (14), p.3573

2024

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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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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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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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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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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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A bottom-up bayesian extension for long term electricity consumption forecasting

Energy (Oxford), 2019-01, Vol.167, p.198-210

2019

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Predicting Patient No-show Behavior: a Study in a Bariatric Clinic

Obesity surgery, 2019-01, Vol.29 (1), p.40-47

2019

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Power Transformers Thermal Modeling Based on the Modified Set-Membership Evolving Multivariable Gaussian and Variable Step-Size Evolving Multivariable Gaussian

Journal of control, automation & electrical systems, 2022, Vol.33 (3), p.1044-1055

2022

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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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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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A bottom-up methodology for long term electricity consumption forecasting of an industrial sector - Application to pulp and paper sector in Brazil

Energy (Oxford), 2018-02, Vol.144, p.1107-1118

2018

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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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A new approach for a drought composite index

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

2021

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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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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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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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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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Renewable energy sources spatio-temporal scenarios simulation under influence of climatic phenomena

Electric power systems research, 2024-10, Vol.235, p.110725, Article 110725

2024

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Understanding perceptions and beliefs about different types of fermented milks through the application of projective techniques: A case study using Haire's shopping list and free word association

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

Componentnet: Processing U- and V-components for spatio-Temporal wind speed forecasting

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

No-shows in appointment scheduling – a systematic literature review

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

Joint Modeling of Wind Speed and Power via a Nonparametric Approach

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

Forecasting natural gas consumption using Bagging and modified regularization techniques

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

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

Point and interval forecasting of electricity supply via pruned ensembles

A bottom-up bayesian extension for long term electricity consumption forecasting

Predicting Patient No-show Behavior: a Study in a Bariatric Clinic

Power Transformers Thermal Modeling Based on the Modified Set-Membership Evolving Multivariable Gaussian and Variable Step-Size Evolving Multivariable Gaussian

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

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

A bottom-up methodology for long term electricity consumption forecasting of an industrial sector - Application to pulp and paper sector in Brazil

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

A new approach for a drought composite index

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

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

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

Time series analysis with explanatory variables: A systematic literature review

Renewable energy sources spatio-temporal scenarios simulation under influence of climatic phenomena

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