Stefan Meisenbacher

16 papers Journal 9Unranked 7
YearRankTypeTitle / Venue / Authors
2025 J jnl
On autoregressive deep learning models for day-ahead wind power forecasts with irregular shutdowns due to redispatching.
Autom.
Stefan Meisenbacher, Silas Aaron Selzer, Mehdi Dado, Maximilian Beichter, Tim Martin, Markus Zdrallek, Peter Bretschneider, Veit Hagenmeyer, Ralf Mikut
2025 — conf
Reducing Imbalance Energy by Spatial Balance Area Forecasting.
e-Energy
Jonathan Kolar, Matthias Hertel, Stefan Meisenbacher, Ralf Mikut, Veit Hagenmeyer
2024 J jnl
AutoPQ: Automating Quantile estimation from Point forecasts in the context of sustainability.
CoRR
Stefan Meisenbacher, Kaleb Phipps, Oskar Taubert, Marie Weiel, Markus Götz, Ralf Mikut, Veit Hagenmeyer
2024 — conf
Automation Level Taxonomy for Time Series Forecasting Services: Guideline for Real-World Smart Grid Applications.
EI.A (1)
Stefan Meisenbacher, Johannes Galenzowski, Kevin Förderer, Wolfgang Suess, Simon Waczowicz, Ralf Mikut, Veit Hagenmeyer
2024 J jnl
On autoregressive deep learning models for day-ahead wind power forecasting with irregular shutdowns due to redispatching.
CoRR
Stefan Meisenbacher, Silas Aaron Selzer, Mehdi Dado, Maximilian Beichter, Tim Martin, Markus Zdrallek, Peter Bretschneider, Veit Hagenmeyer, Ralf Mikut
2023 — conf
A Real-World District Community Platform as a Cyber-Physical-Social Infrastructure Systems in the Energy Domain.
BuildSys
Johannes Galenzowski, Simon Waczowicz, Stefan Meisenbacher, Ralf Mikut, Veit Hagenmeyer
2023 — conf
AutoPV: Automated photovoltaic forecasts with limited information using an ensemble of pre-trained models.
e-Energy
Stefan Meisenbacher, Benedikt Heidrich, Tim Martin, Ralf Mikut, Veit Hagenmeyer
2023 — conf
Loss-Customised Probabilistic Energy Time Series Forecasts Using Automated Hyperparameter Optimisation.
e-Energy
Kaleb Phipps, Stefan Meisenbacher, Benedikt Heidrich, Marian Turowski, Ralf Mikut, Veit Hagenmeyer
2022 J jnl
AutoPV: Automated photovoltaic forecasts with limited information using an ensemble of pre-trained models.
CoRR
Stefan Meisenbacher, Benedikt Heidrich, Tim Martin, Ralf Mikut, Veit Hagenmeyer
2022 — conf
Multi-zone grey-box thermal building identification with real occupants.
BuildSys
Moritz Frahm, Stefan Meisenbacher, Elena Klumpp, Ralf Mikut, Jörg Matthes, Veit Hagenmeyer
2022 J jnl
Review of automated time series forecasting pipelines.
CoRR
Stefan Meisenbacher, Marian Turowski, Kaleb Phipps, Martin Rätz, Dirk Müller, Veit Hagenmeyer, Ralf Mikut
2022 J jnl
Review of automated time series forecasting pipelines.
WIREs Data Mining Knowl. Discov.
Stefan Meisenbacher, Marian Turowski, Kaleb Phipps, Martin Rätz, Dirk Müller, Veit Hagenmeyer, Ralf Mikut
2021 J jnl
Concepts for Automated Machine Learning in Smart Grid Applications.
CoRR
Stefan Meisenbacher, Janik Pinter, Tim Martin, Veit Hagenmeyer, Ralf Mikut
2021 J jnl
Integrating Battery Aging in the Optimization for Bidirectional Charging of Electric Vehicles.
IEEE Trans. Smart Grid
Karl Schwenk, Stefan Meisenbacher, Benjamin Briegel, Tim Harr, Veit Hagenmeyer, Ralf Mikut
2021 — conf
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.
e-Energy
Stefan Meisenbacher, Karl Schwenk, Johannes Galenzowski, Simon Waczowicz, Ralf Mikut, Veit Hagenmeyer
2021 J jnl
pyWATTS: Python Workflow Automation Tool for Time Series.
CoRR
Benedikt Heidrich, Andreas Bartschat, Marian Turowski, Oliver Neumann, Kaleb Phipps, Stefan Meisenbacher, Kai Schmieder, Nicole Ludwig, Ralf Mikut, Veit Hagenmeyer