Matthias Hertel

According to our database, Matthias Hertel authored at least 14 papers between 2016 and 2026.

Collaborative distances:

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

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

Covariates Are the Key to Accurate Probabilistic Building Energy Forecasting with Time Series Foundation Models.

Alexander Kreusel, Matthias Hertel, Moritz Noskiewicz, Frederik Zahn, Heiko Maaß, Ralf Mikut, Veit Hagenmeyer

Proceedings of the 2026 ACM Sustainability Week, 2026

Explainable Load Forecasting with Covariate-Informed Time Series Foundation Models.

Matthias Hertel, Alexandra Nikoltchovska, Sebastian Pütz, Benjamin Schäfer, Ralf Mikut, Veit Hagenmeyer

Proceedings of the 17th ACM International Conference on Future and Sustainable Energy Systems, 2026

2025

Explainable time-series forecasting with sampling-free SHAP for Transformers.

Matthias Hertel, Sebastian Pütz, Ralf Mikut, Veit Hagenmeyer, Benjamin Schäfer

CoRR, December, 2025

Reducing Imbalance Energy by Spatial Balance Area Forecasting.

Jonathan Kolar, Matthias Hertel, Stefan Meisenbacher, Ralf Mikut, Veit Hagenmeyer

Proceedings of the 16th ACM International Conference on Future and Sustainable Energy Systems, 2025

2024

Generating peak-aware pseudo-measurements for low-voltage feeders using metadata of distribution system operators.

Manuel Treutlein, Marc Schmidt, Roman Hahn, Matthias Hertel, Benedikt Heidrich, Ralf Mikut, Veit Hagenmeyer

CoRR, 2024

Feasibility of Forecasting Highly Resolved Power Grid Frequency Utilizing Temporal Fusion Transformers.

Sebastian Pütz, Hadeer El Ashhab, Matthias Hertel, Ralf Mikut, Markus Götz, Veit Hagenmeyer, Benjamin Schäfer

Proceedings of the 15th ACM International Conference on Future and Sustainable Energy Systems, 2024

2023

Transformer training strategies for forecasting multiple load time series.

Matthias Hertel, Maximilian Beichter, Benedikt Heidrich, Oliver Neumann, Benjamin Schäfer, Ralf Mikut, Veit Hagenmeyer

Energy Inform., January, 2023

A Fair and In-Depth Evaluation of Existing End-to-End Entity Linking Systems.

Hannah Bast, Matthias Hertel, Natalie Prange

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

Fast Whitespace Correction with Encoder-Only Transformers.

Hannah Bast, Matthias Hertel, Sebastian Walter

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 3: System Demonstrations), 2023

2022

ELEVANT: A Fully Automatic Fine-Grained Entity Linking Evaluation and Analysis Tool.

Hannah Bast, Matthias Hertel, Natalie Prange

Proceedings of the The 2022 Conference on Empirical Methods in Natural Language Processing, 2022

2021

Tokenization Repair in the Presence of Spelling Errors.

Hannah Bast, Matthias Hertel, Mostafa M. Mohamed

Proceedings of the 25th Conference on Computational Natural Language Learning, 2021

2018

Analytic model of process forces for orthogonal turn-milling.

Matthias Hertel, Martin Dix, Matthias Putz

Prod. Eng., 2018

2016

Scalable Transfer Patterns.

Hannah Bast, Matthias Hertel, Sabine Storandt

Proceedings of the Eighteenth Workshop on Algorithm Engineering and Experiments, 2016