8 citations · 15 across the 9 of their papers we have counts for
9 papers
AI and physics-based weather forecasting: A comparative study
Mátyás Kocsis, Sándor Baran
In the last few years, AI-based models have become the centre of attention in weather forecasting due to their increasing accuracy and efficiency. Pioneering among weather services…
Post-processing of ensemble photovoltaic power forecasts with distributional and quantile regression methods
Martin János Mayer, Ágnes Baran, Sebastian Lerch +3
Accurate and reliable forecasting of photovoltaic (PV) power generation is crucial for grid operations, electricity markets, and energy planning, as solar systems now contribute a…
Fair Box ordinate transform for forecasts following a multivariate Gaussian law
Sándor Baran, Martin Leutbecher
Monte Carlo techniques are the method of choice for making probabilistic predictions of an outcome in several disciplines. Usually, the aim is to generate calibrated predictions wh…
Statistical post-processing of operational dual-resolution wind-speed ensemble forecasts
Sándor Baran, Mária Lakatos
Weather forecasting presents several challenges, including the chaotic nature of the atmosphere and the high computational demands of numerical weather prediction models. To achiev…
Machine learning-based probabilistic forecasting of solar irradiance in Chile
Sándor Baran, Julio C. Marín, Omar Cuevas +4
By the end of 2023, renewable sources cover 63.4% of the total electric power demand of Chile, and in line with the global trend, photovoltaic (PV) power shows the most dynamic inc…
Enhancing multivariate post-processed visibility predictions utilizing CAMS forecasts
Mária Lakatos, Sándor Baran
In our contemporary era, meteorological weather forecasts increasingly incorporate ensemble predictions of visibility - a parameter of great importance in aviation, maritime naviga…
Ensemble size dependence of the logarithmic score for forecasts issued as multivariate normal distributions
Martin Leutbecher, Sándor Baran
Multivariate probabilistic verification is concerned with the evaluation of joint probability distributions of vector quantities such as a weather variable at multiple locations or…
Clustering-based spatial interpolation of parametric post-processing models
Sándor Baran, Mária Lakatos
Since the start of the operational use of ensemble prediction systems, ensemble-based probabilistic forecasting has become the most advanced approach in weather prediction. However…
Parametric model for post-processing visibility ensemble forecasts
Ágnes Baran, Sándor Baran
Although by now the ensemble-based probabilistic forecasting is the most advanced approach to weather prediction, ensemble forecasts still might suffer from lack of calibration and…