Sebastian Lerch

According to our database, Sebastian Lerch authored at least 13 papers between 2018 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

Aggregating Distribution Forecasts from Deep Ensembles.

Benedikt Schulz, Lutz Köhler, Sebastian Lerch

Mach. Learn., May, 2026

Energy-Arena: A Dynamic Benchmark for Operational Energy Forecasting.

Max Kleinebrahm, Jonathan Berrisch, Philipp Eiser, Wolf Fichtner, Veit Hagenmeyer, Matthias Hertel, Nils Koster, Sebastian Lerch, Ralf Mikut, Jan Priesmann, Melanie Schienle, Benjamin Schäfer, Jann Michael Weinand, Florian Ziel

CoRR, April, 2026

2025

Probabilistic intraday electricity price forecasting using generative machine learning.

Jieyu Chen, Sebastian Lerch, Melanie Schienle, Tomasz Serafin, Rafal Weron

CoRR, June, 2025

Learning low-dimensional representations of ensemble forecast fields using autoencoder-based methods.

Jieyu Chen, Kevin Höhlein, Sebastian Lerch

CoRR, February, 2025

2024

Graph Neural Networks and Spatial Information Learning for Post-Processing Ensemble Weather Forecasts.

Moritz Feik, Sebastian Lerch, Jan Stühmer

CoRR, 2024

Improving Model Chain Approaches for Probabilistic Solar Energy Forecasting through Post-processing and Machine Learning.

Nina Horat, Sina Klerings, Sebastian Lerch

CoRR, 2024

2023

Postprocessing of Ensemble Weather Forecasts Using Permutation-invariant Neural Networks.

Kevin Höhlein, Benedikt Schulz, Rüdiger Westermann, Sebastian Lerch

CoRR, 2023

2022

Generative machine learning methods for multivariate ensemble post-processing.

Jieyu Chen, Tim Janke, Florian Steinke, Sebastian Lerch

CoRR, 2022

Convolutional autoencoders for spatially-informed ensemble post-processing.

Sebastian Lerch, Kai Lars Polsterer

CoRR, 2022

Aggregating distribution forecasts from deep ensembles.

Benedikt Schulz, Sebastian Lerch

CoRR, 2022

2021

Machine learning for total cloud cover prediction.

Ágnes Baran, Sebastian Lerch, Mehrez El Ayari, Sándor Baran

Neural Comput. Appl., 2021

Machine learning methods for postprocessing ensemble forecasts of wind gusts: A systematic comparison.

Benedikt Schulz, Sebastian Lerch

CoRR, 2021

2018

Neural networks for post-processing ensemble weather forecasts.

Stephan Rasp, Sebastian Lerch

CoRR, 2018