Kaleb Phipps

According to our database, Kaleb Phipps authored at least 17 papers between 2018 and 2023.

Collaborative distances:

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

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., April, 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

ProbPNN: Enhancing Deep Probabilistic Forecasting with Statistical Information.

Benedikt Heidrich, Kaleb Phipps, Oliver Neumann, Marian Turowski, Ralf Mikut, Veit Hagenmeyer

CoRR, 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

Dynamic Chromosome Interpretation in Evolutionary Algorithms for Distributed Energy Resources Scheduling.

Rafael Poppenborg, Kaleb Phipps, Hatem Khalloof, Kevin Förderer, Ralf Mikut, Veit Hagenmeyer

Proceedings of the Companion Proceedings of the Conference on Genetic and Evolutionary Computation, 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

Proceedings of the Energy Informatics - Third Energy Informatics Academy Conference, 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

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

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

Boost short-term load forecasts with synthetic data from transferred latent space information.

Benedikt Heidrich, Lisa Mannsperger, Marian Turowski, Kaleb Phipps, Benjamin Schäfer, Ralf Mikut, Veit Hagenmeyer

Energy Inform., 2022

Net load forecasting using different aggregation levels.

Maximilian Beichter, Kaleb Phipps, Martha Maria Frysztacki, Ralf Mikut, Veit Hagenmeyer, Nicole Ludwig

Energy Inform., 2022

Modeling and generating synthetic anomalies for energy and power time series.

Marian Turowski, Moritz Weber, Oliver Neumann, Benedikt Heidrich, Kaleb Phipps, Hüseyin Kemâl Çakmak, Ralf Mikut, Veit Hagenmeyer

Proceedings of the e-Energy '22: The Thirteenth ACM International Conference on Future Energy Systems, Virtual Event, 28 June 2022, 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

Proceedings of the e-Energy '22: The Thirteenth ACM International Conference on Future Energy Systems, Virtual Event, 28 June 2022, 2022

High-resolution real-world electricity data from three microgrids in the global south.

Matthias Luh, Kaleb Phipps, Anthony Britto, Matthias Wolf, Marek Lutz, Johann Kraft

Proceedings of the e-Energy '22: The Thirteenth ACM International Conference on Future Energy Systems, Virtual Event, 28 June 2022, 2022

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

A Benchmark for Parking Duration Prediction of Electric Vehicles for Smart Charging Applications.

Karl Schwenk, Kaleb Phipps, Benjamin Briegel, Veit Hagenmeyer, Ralf Mikut

Proceedings of the IEEE Symposium Series on Computational Intelligence, 2021

2018

Hardware-in-the-Loop Co-simulation of a Smart Building in a Low-voltage Distribution Grid.

Sebastian Kochanneck, Ingo Mauser, Kaleb Phipps, Hartmut Schmeck

Proceedings of the 2018 IEEE PES Innovative Smart Grid Technologies Conference Europe, 2018