Stefan Meisenbacher

According to our database, Stefan Meisenbacher authored at least 14 papers between 2021 and 2025.

Collaborative distances:

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

2025

On autoregressive deep learning models for day-ahead wind power forecasts with irregular shutdowns due to redispatching.

Stefan Meisenbacher, Silas Aaron Selzer, Mehdi Dado, Maximilian Beichter, Tim Martin, Markus Zdrallek, Peter Bretschneider, Veit Hagenmeyer, Ralf Mikut

Autom., October, 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

On autoregressive deep learning models for day-ahead wind power forecasting with irregular shutdowns due to redispatching.

Stefan Meisenbacher, Silas Aaron Selzer, Mehdi Dado, Maximilian Beichter, Tim Martin, Markus Zdrallek, Peter Bretschneider, Veit Hagenmeyer, Ralf Mikut

CoRR, 2024

AutoPQ: Automating Quantile estimation from Point forecasts in the context of sustainability.

Stefan Meisenbacher, Kaleb Phipps, Oskar Taubert, Marie Weiel, Markus Götz, Ralf Mikut, Veit Hagenmeyer

CoRR, 2024

Automation Level Taxonomy for Time Series Forecasting Services: Guideline for Real-World Smart Grid Applications.

Stefan Meisenbacher, Johannes Galenzowski, Kevin Förderer, Wolfgang Süß, Simon Waczowicz, Ralf Mikut, Veit Hagenmeyer

Proceedings of the Energy Informatics - 4th Energy Informatics Academy Conference, 2024

2023

A Real-World District Community Platform as a Cyber-Physical-Social Infrastructure Systems in the Energy Domain.

Johannes Galenzowski, Simon Waczowicz, Stefan Meisenbacher, Ralf Mikut, Veit Hagenmeyer

Proceedings of the 10th ACM International Conference on Systems for Energy-Efficient Buildings, 2023

Loss-Customised Probabilistic Energy Time Series Forecasts Using Automated Hyperparameter Optimisation.

Kaleb Phipps, Stefan Meisenbacher, Benedikt Heidrich, Marian Turowski, Ralf Mikut, Veit Hagenmeyer

Proceedings of the 14th ACM International Conference on Future Energy Systems, 2023

AutoPV: Automated photovoltaic forecasts with limited information using an ensemble of pre-trained models.

Stefan Meisenbacher, Benedikt Heidrich, Tim Martin, Ralf Mikut, Veit Hagenmeyer

Proceedings of the 14th ACM International Conference on Future Energy Systems, 2023

2022

Review of automated time series forecasting pipelines.

Stefan Meisenbacher, Marian Turowski, Kaleb Phipps, Martin Rätz, Dirk Müller, Veit Hagenmeyer, Ralf Mikut

WIREs Data Mining Knowl. Discov., 2022

Multi-zone grey-box thermal building identification with real occupants.

Moritz Frahm, Stefan Meisenbacher, Elena Klumpp, Ralf Mikut, Jörg Matthes, Veit Hagenmeyer

Proceedings of the 9th ACM International Conference on Systems for Energy-Efficient Buildings, 2022

2021

Integrating Battery Aging in the Optimization for Bidirectional Charging of Electric Vehicles.

Karl Schwenk, Stefan Meisenbacher, Benjamin Briegel, Tim Harr, Veit Hagenmeyer, Ralf Mikut

IEEE Trans. Smart Grid, 2021

Concepts for Automated Machine Learning in Smart Grid Applications.

Stefan Meisenbacher, Janik Pinter, Tim Martin, Veit Hagenmeyer, Ralf Mikut

CoRR, 2021

pyWATTS: Python Workflow Automation Tool for Time Series.

Benedikt Heidrich, Andreas Bartschat, Marian Turowski, Oliver Neumann, Kaleb Phipps, Stefan Meisenbacher, Kai Schmieder, Nicole Ludwig, Ralf Mikut, Veit Hagenmeyer

CoRR, 2021

Smart Charging of Electric Vehicles with Cloud-based Optimization and a Lightweight User Interface: A Real-World Application in the Energy Lab 2.0: Poster.

Stefan Meisenbacher, Karl Schwenk, Johannes Galenzowski, Simon Waczowicz, Ralf Mikut, Veit Hagenmeyer

Proceedings of the e-Energy '21: The Twelfth ACM International Conference on Future Energy Systems, Virtual Event, Torino, Italy, 28 June, 2021