Hardware-in-the-Loop Co-simulation of a Smart Building in a Low-voltage Distribution Grid. - Sebastian Kochanneck; Ingo Mauser; Kaleb Phipps; Hartmut Schmeck (ISGT Europe, 2018)

A Benchmark for Parking Duration Prediction of Electric Vehicles for Smart Charging Applications. - Karl Schwenk; Kaleb Phipps; Benjamin Briegel; Veit Hagenmeyer; Ralf Mikut (SSCI, 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)

High-resolution real-world electricity data from three microgrids in the global south. - Matthias Luh; Kaleb Phipps; Anthony Britto; Matthias Wolf 004; Marek Lutz; Johann Kraft (e-Energy, 2022)

Enhancing anomaly detection methods for energy time series using latent space data representations. - Marian Turowski; Benedikt Heidrich; Kaleb Phipps; Kai Schmieder; Oliver Neumann; Ralf Mikut; Veit Hagenmeyer (e-Energy, 2022)

Modeling and generating synthetic anomalies for energy and power time series. - Marian Turowski; Moritz Weber 001; Oliver Neumann; Benedikt Heidrich; Kaleb Phipps; Hüseyin Kemâl Çakmak; Ralf Mikut; Veit Hagenmeyer (e-Energy, 2022)

Net load forecasting using different aggregation levels. - Maximilian Beichter; Kaleb Phipps; Martha Maria Frysztacki; Ralf Mikut; Veit Hagenmeyer; Nicole Ludwig 002 (Energy Inform., 2022)

Boost short-term load forecasts with synthetic data from transferred latent space information. - Benedikt Heidrich; Lisa Mannsperger; Marian Turowski; Kaleb Phipps; Benjamin Schäfer 001; Ralf Mikut; Veit Hagenmeyer (Energy Inform., 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)

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)

The Impact of Forecast Characteristics on the Forecast Value for the Dispatchable Feeder. - Dorina Werling; Maximilian Beichter; Benedikt Heidrich; Kaleb Phipps; Ralf Mikut; Veit Hagenmeyer (e-Energy (Companion), 2023)

Automating Value-Oriented Forecast Model Selection by Meta-learning: Application on a Dispatchable Feeder. - Dorina Werling; Maximilian Beichter; Benedikt Heidrich; Kaleb Phipps; Ralf Mikut; Veit Hagenmeyer (EI.A, 2023)

Dynamic Chromosome Interpretation in Evolutionary Algorithms for Distributed Energy Resources Scheduling. - Rafael Poppenborg; Kaleb Phipps; Hatem Khalloof; Kevin Förderer; Ralf Mikut; Veit Hagenmeyer (GECCO Companion, 2023)

Creating Probabilistic Forecasts from Arbitrary Deterministic Forecasts using Conditional Invertible Neural Networks. - Kaleb Phipps; Benedikt Heidrich; Marian Turowski; Moritz Wittig; Ralf Mikut; Veit Hagenmeyer (CoRR, 2023)

ProbPNN: Enhancing Deep Probabilistic Forecasting with Statistical Information. - Benedikt Heidrich; Kaleb Phipps; Oliver Neumann; Marian Turowski; Ralf Mikut; Veit Hagenmeyer (CoRR, 2023)

Customized Uncertainty Quantification of Parking Duration Predictions for EV Smart Charging. - Kaleb Phipps; Karl Schwenk; Benjamin Briegel; Ralf Mikut; Veit Hagenmeyer (IEEE Internet Things J., 2023)

Controlling non-stationarity and periodicities in time series generation using conditional invertible neural networks. - Benedikt Heidrich; Marian Turowski; Kaleb Phipps; Kai Schmieder; Wolfgang Süß; Ralf Mikut; Veit Hagenmeyer (Appl. Intell., 2023)

Decision-Focused Retraining of Forecast Models for Optimization Problems in Smart Energy Systems. - Maximilian Beichter; Dorina Werling; Benedikt Heidrich; Kaleb Phipps; Oliver Neumann; Nils Friederich; Ralf Mikut; Veit Hagenmeyer (e-Energy, 2024)

Dynamic Phenotype Mapping in Evolutionary Algorithms for Energy Hub Scheduling. - Rafael Poppenborg; Kaleb Phipps; Maximilian Beichter; Kevin Förderer; Ralf Mikut; Veit Hagenmeyer (EI.A (2), 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)

Quantifying and Interpreting Uncertainty in Time Series Forecasting. - Kaleb Phipps (2024)

Generating probabilistic forecasts from arbitrary point forecasts using a conditional invertible neural network. - Kaleb Phipps; Benedikt Heidrich; Marian Turowski; Moritz Wittig; Ralf Mikut; Veit Hagenmeyer (Appl. Intell., 2024)

Decision-Focused Fine-Tuning of Time Series Foundation Models for Dispatchable Feeder Optimization. - Maximilian Beichter; Nils Friederich; Janik Pinter; Dorina Werling; Kaleb Phipps; Sebastian Beichter; Oliver Neumann; Ralf Mikut; Veit Hagenmeyer; Benedikt Heidrich (CoRR, 2025)