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Probabilistic wind speed forecasting using Bayesian model averaging with truncated normal components

Computational statistics & data analysis, 2014-07, Vol.75, p.227-238

Baran, Sándor

2014

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Log‐normal distribution based Ensemble Model Output Statistics models for probabilistic wind‐speed forecasting

Quarterly journal of the Royal Meteorological Society, 2015-07, Vol.141 (691), p.2289-2299

2015

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Combining predictive distributions for the statistical post-processing of ensemble forecasts

International journal of forecasting, 2018-07, Vol.34 (3), p.477-496

2018

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A two‐step machine‐learning approach to statistical post‐processing of weather forecasts for power generation

Quarterly journal of the Royal Meteorological Society, 2024-01, Vol.150 (759), p.1029-1047

2024

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Machine learning for total cloud cover prediction

Neural computing & applications, 2021-04, Vol.33 (7), p.2605-2620

2021

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Post-processing numerical weather prediction ensembles for probabilistic solar irradiance forecasting

Solar energy, 2021-05, Vol.220, p.1016-1031

2021

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K-optimal designs for parameters of shifted Ornstein–Uhlenbeck processes and sheets

Journal of statistical planning and inference, 2017-07, Vol.186, p.28-41

Baran, Sándor

2017

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Statistical post‐processing of visibility ensemble forecasts

Meteorological applications, 2023-09, Vol.30 (5), p.n/a

2023

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Censored and shifted gamma distribution based EMOS model for probabilistic quantitative precipitation forecasting

Environmetrics (London, Ont.), 2016-08, Vol.27 (5), p.280-292

2016

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Comparison of multivariate post‐processing methods using global ECMWF ensemble forecasts

Quarterly journal of the Royal Meteorological Society, 2023-04, Vol.149 (752), p.856-877

2023

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On the optimal designs for the prediction of complex Ornstein-Uhlenbeck processes

Communications in statistics. Theory and methods, 2020-10, Vol.49 (20), p.4859-4870

2020

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Calibration of wind speed ensemble forecasts for power generation

Időjárás, 2021-10, Vol.125 (4), p.609-624

2021

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Truncated generalized extreme value distribution‐based ensemble model output statistics model for calibration of wind speed ensemble forecasts

Environmetrics (London, Ont.), 2021-09, Vol.32 (6), p.n/a

2021

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Simulation-based comparison of multivariate ensemble post-processing methods

Nonlinear processes in geophysics, 2020-06, Vol.27 (2), p.349-371

2020

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Optimal designs for the methane flux in troposphere

Chemometrics and intelligent laboratory systems, 2015-08, Vol.146, p.407-417

2015

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D-optimal designs for complex Ornstein–Uhlenbeck processes

Journal of statistical planning and inference, 2018-12, Vol.197, p.93-106

2018

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Green with savvy? Brazil's climate pledge to the Paris Agreement and its transition to the green economy

Energy and climate change (Oxford), 2020-12, Vol.1, p.100015, Article 100015

2020

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Discussion on A high‐resolution bilevel skew‐t stochastic generator for assessing Saudi Arabia's wind energy resources

Environmetrics (London, Ont.), 2020-11, Vol.31 (7), p.n/a

Baran, Sándor

2020

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On the optimal designs for the prediction of Ornstein–Uhlenbeck sheets

Statistics & probability letters, 2013-06, Vol.83 (6), p.1580-1587

2013

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On the variances of a spatial unit root model

Lithuanian mathematical journal, 2011-04, Vol.51 (2), p.122-140

Baran, Sándor

2011

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Probabilistic temperature forecasting with statistical calibration in Hungary

Meteorology and atmospheric physics, 2014-05, Vol.124 (3-4), p.129-142

2014

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Estimating the Risk of a Down's Syndrome Term Pregnancy Using Age and Serum Markers: Comparison of Various Methods

Communications in statistics. Simulation and computation, 2013-08, Vol.42 (7), p.1654-1672

2013

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Parameter estimation in linear regression driven by a Gaussian sheet

Acta scientiarum mathematicarum (Szeged), 2012-01, Vol.78 (3-4), p.689-713

2012

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Parameter estimation in a spatial unilateral unit root autoregressive model

Journal of multivariate analysis, 2012-05, Vol.107, p.282-305

2012

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Comparison of the BMA and EMOS statistical methods in calibrating temperature and wind speed forecast ensembles

Idoejaras, 2014-07, Vol.118 (3), p.217-241

2014

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Probabilistic wind speed forecasting using Bayesian model averaging with truncated normal components

Log‐normal distribution based Ensemble Model Output Statistics models for probabilistic wind‐speed forecasting

Combining predictive distributions for the statistical post-processing of ensemble forecasts

A two‐step machine‐learning approach to statistical post‐processing of weather forecasts for power generation

Machine learning for total cloud cover prediction

Post-processing numerical weather prediction ensembles for probabilistic solar irradiance forecasting

K-optimal designs for parameters of shifted Ornstein–Uhlenbeck processes and sheets

Statistical post‐processing of visibility ensemble forecasts

Censored and shifted gamma distribution based EMOS model for probabilistic quantitative precipitation forecasting

Comparison of multivariate post‐processing methods using global ECMWF ensemble forecasts

On the optimal designs for the prediction of complex Ornstein-Uhlenbeck processes

Calibration of wind speed ensemble forecasts for power generation

Truncated generalized extreme value distribution‐based ensemble model output statistics model for calibration of wind speed ensemble forecasts

Simulation-based comparison of multivariate ensemble post-processing methods

Optimal designs for the methane flux in troposphere

D-optimal designs for complex Ornstein–Uhlenbeck processes

Green with savvy? Brazil's climate pledge to the Paris Agreement and its transition to the green economy

Discussion on A high‐resolution bilevel skew‐t stochastic generator for assessing Saudi Arabia's wind energy resources

On the optimal designs for the prediction of Ornstein–Uhlenbeck sheets

On the variances of a spatial unit root model

Probabilistic temperature forecasting with statistical calibration in Hungary

Estimating the Risk of a Down's Syndrome Term Pregnancy Using Age and Serum Markers: Comparison of Various Methods

Parameter estimation in linear regression driven by a Gaussian sheet

Parameter estimation in a spatial unilateral unit root autoregressive model

Comparison of the BMA and EMOS statistical methods in calibrating temperature and wind speed forecast ensembles

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