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 (e-Energy, 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 002; Ralf Mikut; Veit Hagenmeyer (CoRR, 2021)

Concepts for Automated Machine Learning in Smart Grid Applications. - Stefan Meisenbacher; Janik Pinter; Tim Martin; Veit Hagenmeyer; Ralf Mikut (CoRR, 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)

Multi-zone grey-box thermal building identification with real occupants. - Moritz Frahm; Stefan Meisenbacher; Elena Klumpp; Ralf Mikut; Jörg Matthes; Veit Hagenmeyer (BuildSys, 2022)

Review of automated time series forecasting pipelines. - Stefan Meisenbacher; Marian Turowski; Kaleb Phipps; Martin Rätz; Dirk Müller 005; Veit Hagenmeyer; Ralf Mikut (WIREs Data Mining Knowl. Discov., 2022)

AutoPV: Automated photovoltaic forecasts with limited information using an ensemble of pre-trained models. - Stefan Meisenbacher; Benedikt Heidrich; Tim Martin; Ralf Mikut; Veit Hagenmeyer (e-Energy, 2023)

Loss-Customised Probabilistic Energy Time Series Forecasts Using Automated Hyperparameter Optimisation. - Kaleb Phipps; Stefan Meisenbacher; Benedikt Heidrich; Marian Turowski; Ralf Mikut; Veit Hagenmeyer (e-Energy, 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 (BuildSys, 2023)

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 (EI.A (1), 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)

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)

Reducing Imbalance Energy by Spatial Balance Area Forecasting. - Jonathan Kolar; Matthias Hertel; Stefan Meisenbacher; Ralf Mikut; Veit Hagenmeyer (e-Energy, 2025)