Kaleb Phipps

25 papers Journal 13Unranked 11
YearRankTypeTitle / Venue / Authors
2026 J jnl
Differentiable Power-Flow Optimization.
CoRR
Muhammed Öz, Jasmin Hörter, Kaleb Phipps, Charlotte Debus, Achim Streit, Markus Götz
2025 J jnl
Decision-Focused Fine-Tuning of Time Series Foundation Models for Dispatchable Feeder Optimization.
CoRR
Maximilian Beichter, Nils Friederich, Janik Pinter, Dorina Werling, Kaleb Phipps, Sebastian Beichter, Oliver Neumann, Ralf Mikut, Veit Hagenmeyer, Benedikt Heidrich
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
Decision-Focused Retraining of Forecast Models for Optimization Problems in Smart Energy Systems.
e-Energy
Maximilian Beichter, Dorina Werling, Benedikt Heidrich, Kaleb Phipps, Oliver Neumann, Nils Friederich, Ralf Mikut, Veit Hagenmeyer
2024 — conf
Dynamic Phenotype Mapping in Evolutionary Algorithms for Energy Hub Scheduling.
EI.A (2)
Rafael Poppenborg, Kaleb Phipps, Maximilian Beichter, Kevin Förderer, Ralf Mikut, Veit Hagenmeyer
2024 J jnl
Generating probabilistic forecasts from arbitrary point forecasts using a conditional invertible neural network.
Appl. Intell.
Kaleb Phipps, Benedikt Heidrich, Marian Turowski, Moritz Wittig, Ralf Mikut, Veit Hagenmeyer
2024 — —
Quantifying and Interpreting Uncertainty in Time Series Forecasting.
Kaleb Phipps
2023 — conf
Automating Value-Oriented Forecast Model Selection by Meta-learning: Application on a Dispatchable Feeder.
EI.A
Dorina Werling, Maximilian Beichter, Benedikt Heidrich, Kaleb Phipps, Ralf Mikut, Veit Hagenmeyer
2023 J jnl
Controlling non-stationarity and periodicities in time series generation using conditional invertible neural networks.
Appl. Intell.
Benedikt Heidrich, Marian Turowski, Kaleb Phipps, Kai Schmieder, Wolfgang Süß, Ralf Mikut, Veit Hagenmeyer
2023 J jnl
Creating Probabilistic Forecasts from Arbitrary Deterministic Forecasts using Conditional Invertible Neural Networks.
CoRR
Kaleb Phipps, Benedikt Heidrich, Marian Turowski, Moritz Wittig, Ralf Mikut, Veit Hagenmeyer
2023 J jnl
Customized Uncertainty Quantification of Parking Duration Predictions for EV Smart Charging.
IEEE Internet Things J.
Kaleb Phipps, Karl Schwenk, Benjamin Briegel, Ralf Mikut, Veit Hagenmeyer
2023 — conf
Dynamic Chromosome Interpretation in Evolutionary Algorithms for Distributed Energy Resources Scheduling.
GECCO Companion
Rafael Poppenborg, Kaleb Phipps, Hatem Khalloof, Kevin Förderer, 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
2023 J jnl
ProbPNN: Enhancing Deep Probabilistic Forecasting with Statistical Information.
CoRR
Benedikt Heidrich, Kaleb Phipps, Oliver Neumann, Marian Turowski, Ralf Mikut, Veit Hagenmeyer
2023 — conf
The Impact of Forecast Characteristics on the Forecast Value for the Dispatchable Feeder.
e-Energy (Companion)
Dorina Werling, Maximilian Beichter, Benedikt Heidrich, Kaleb Phipps, Ralf Mikut, Veit Hagenmeyer
2022 J jnl
Boost short-term load forecasts with synthetic data from transferred latent space information.
Energy Inform.
Benedikt Heidrich, Lisa Mannsperger, Marian Turowski, Kaleb Phipps, Benjamin Schäfer, Ralf Mikut, Veit Hagenmeyer
2022 — conf
Enhancing anomaly detection methods for energy time series using latent space data representations.
e-Energy
Marian Turowski, Benedikt Heidrich, Kaleb Phipps, Kai Schmieder, Oliver Neumann, Ralf Mikut, Veit Hagenmeyer
2022 — conf
High-resolution real-world electricity data from three microgrids in the global south.
e-Energy
Matthias Luh, Kaleb Phipps, Anthony Britto, Matthias Wolf, Marek Lutz, Johann Kraft
2022 — conf
Modeling and generating synthetic anomalies for energy and power time series.
e-Energy
Marian Turowski, Moritz Weber, Oliver Neumann, Benedikt Heidrich, Kaleb Phipps, Hüseyin Kemâl Çakmak, Ralf Mikut, Veit Hagenmeyer
2022 J jnl
Net load forecasting using different aggregation levels.
Energy Inform.
Maximilian Beichter, Kaleb Phipps, Martha Maria Frysztacki, Ralf Mikut, Veit Hagenmeyer, Nicole Ludwig
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 — conf
A Benchmark for Parking Duration Prediction of Electric Vehicles for Smart Charging Applications.
SSCI
Karl Schwenk, Kaleb Phipps, Benjamin Briegel, Veit Hagenmeyer, Ralf Mikut
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
2018 — conf
Hardware-in-the-Loop Co-simulation of a Smart Building in a Low-voltage Distribution Grid.
ISGT Europe
Sebastian Kochanneck, Ingo Mauser, Kaleb Phipps, Hartmut Schmeck