Jan Kloppenborg Møller

According to our database, Jan Kloppenborg Møller authored at least 14 papers between 2008 and 2025.

Collaborative distances:

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

2025

nabqr: Python package for improving probabilistic forecasts.

Bastian Schmidt Jørgensena, Jan Kloppenborg Møller, Peter Nystrup, Henrik Madsen

CoRR, January, 2025

nabqr: Python package for correcting probabilistic forecasts.

Bastian Schmidt Jørgensen, Jan Kloppenborg Møller, Peter Nystrup, Henrik Madsen

SoftwareX, 2025

A covariate-dependent Markov jump process with application to the propagation of rail defect severity.

Albert Skovgaard Bisgaard, Steven Harrod, Jan Kloppenborg Møller, Bo Friis Nielsen, Carsten Jørn Rasmussen, Thomas Vatn Bjørge, Jørn Vatn

Reliab. Eng. Syst. Saf., 2025

Sequential methods for error correction of probabilistic wind power forecasts.

Bastian Schmidt Jørgensen, Jan Kloppenborg Møller, Peter Nystrup, Henrik Madsen

Expert Syst. Appl., 2025

Optimal weights and Heuristic Meta-Models: Learning-based multi-model strategies for energy forecasting.

Eghbal Hosseini, Jan Kloppenborg Møller, Mohsen Banaei, Razgar Ebrahimy

Array, 2025

Optimal price signal generation for indirect control of flexible energy demand under uncertainty.

Emil Skov Martinsen, Jan Kloppenborg Møller, Henrik Madsen, Uffe Høgsbro Thygesen, Tobias K. S. Ritschel

Proceedings of the 2025 European Control Conference, 2025

Process optimization for a flexibly operated plastic waste-to-methanol plant.

Emil Skov Martinsen, Konstantin Filonenko, Magnus Hamann Poulsen, Jan Kloppenborg Møller, Henrik Madsen, Jan Kamyno Rasmussen, Tobias K. S. Ritschel

Proceedings of the 2025 European Control Conference, 2025

2023

Onlineforecast: An R Package for Adaptive and Recursive Forecasting.

Peder Bacher, Hjörleifur G. Bergsteinsson, Linde Frölke, Mikkel L. Sørensen, Julián Lemos-Vinasco, Jon A. R. Liisberg, Jan Kloppenborg Møller, Henrik Aalborg Nielsen, Henrik Madsen

R J., March, 2023

A step towards digital operations - A novel grey-box approach for modelling the heat dynamics of Ultra-low temperature freezing chambers.

Tao Huang, Peder Bacher, Jan Kloppenborg Møller, Francesco D'Ettorre, Wiebke Brix Markussen

CoRR, 2023

Structural hierarchical learning for energy networks.

Julien Leprince, Waqas Khan, Henrik Madsen, Jan Kloppenborg Møller, Wim Zeiler

CoRR, 2023

Hierarchical learning, forecasting coherent spatio-temporal individual and aggregated building loads.

Julien Leprince, Henrik Madsen, Jan Kloppenborg Møller, Wim Zeiler

CoRR, 2023

2021

Behind-the-Meter Energy Flexibility Modelling for Aggregator Operation with a Focus on Uncertainty.

Emma M. V. Blomgren, Razgar Ebrahimy, Ali Pourmousavi Kani, Jan Kloppenborg Møller, Francesco D'Ettorre, Mohsen Banaei, Henrik Madsen

Proceedings of the IEEE PES Innovative Smart Grid Technologies Europe, 2021

2017

Inhomogeneous Markov Models for Describing Driving Patterns.

Emil Banning Iversen, Jan Kloppenborg Møller, Juan Miguel Morales, Henrik Madsen

IEEE Trans. Smart Grid, 2017

2008

Time-adaptive quantile regression.

Jan Kloppenborg Møller, Henrik Aalborg Nielsen, Henrik Madsen

Comput. Stat. Data Anal., 2008