Jan Kloppenborg Møller

14 papers Journal 11Unranked 3
YearRankTypeTitle / Venue / Authors
2025 J jnl
A covariate-dependent Markov jump process with application to the propagation of rail defect severity.
Reliab. Eng. Syst. Saf.
Albert Skovgaard Bisgaard, Steven Harrod, Jan Kloppenborg Møller, Bo Friis Nielsen, Carsten Jørn Rasmussen, Thomas Vatn Bjørge, Jørn Vatn
2025 — conf
Optimal price signal generation for indirect control of flexible energy demand under uncertainty.
ECC
Emil Skov Martinsen, Jan Kloppenborg Møller, Henrik Madsen, Uffe Høgsbro Thygesen, Tobias K. S. Ritschel
2025 J jnl
Optimal weights and Heuristic Meta-Models: Learning-based multi-model strategies for energy forecasting.
Array
Eghbal Hosseini, Jan Kloppenborg Møller, Mohsen Banaei, Razgar Ebrahimy
2025 — conf
Process optimization for a flexibly operated plastic waste-to-methanol plant.
ECC
Emil Skov Martinsen, Konstantin Filonenko, Magnus Hamann Poulsen, Jan Kloppenborg Møller, Henrik Madsen, Jan Kamyno Rasmussen, Tobias K. S. Ritschel
2025 J jnl
Sequential methods for error correction of probabilistic wind power forecasts.
Expert Syst. Appl.
Bastian Schmidt Jørgensen, Jan Kloppenborg Møller, Peter Nystrup, Henrik Madsen
2025 J jnl
nabqr: Python package for correcting probabilistic forecasts.
SoftwareX
Bastian Schmidt Jørgensen, Jan Kloppenborg Møller, Peter Nystrup, Henrik Madsen
2025 J jnl
nabqr: Python package for improving probabilistic forecasts.
CoRR
Bastian Schmidt Jørgensena, Jan Kloppenborg Møller, Peter Nystrup, Henrik Madsen
2023 J jnl
A step towards digital operations - A novel grey-box approach for modelling the heat dynamics of Ultra-low temperature freezing chambers.
CoRR
Tao Huang, Peder Bacher, Jan Kloppenborg Møller, Francesco D'Ettorre, Wiebke Brix Markussen
2023 J jnl
Hierarchical learning, forecasting coherent spatio-temporal individual and aggregated building loads.
CoRR
Julien Leprince, Henrik Madsen, Jan Kloppenborg Møller, Wim Zeiler
2023 J jnl
Onlineforecast: An R Package for Adaptive and Recursive Forecasting.
R J.
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
2023 J jnl
Structural hierarchical learning for energy networks.
CoRR
Julien Leprince, Waqas Khan, Henrik Madsen, Jan Kloppenborg Møller, Wim Zeiler
2021 — conf
Behind-the-Meter Energy Flexibility Modelling for Aggregator Operation with a Focus on Uncertainty.
ISGT-Europe
Emma M. V. Blomgren, Razgar Ebrahimy, Ali Pourmousavi Kani, Jan Kloppenborg Møller, Francesco D'Ettorre, Mohsen Banaei, Henrik Madsen
2017 J jnl
Inhomogeneous Markov Models for Describing Driving Patterns.
IEEE Trans. Smart Grid
Emil Banning Iversen, Jan Kloppenborg Møller, Juan Miguel Morales, Henrik Madsen
2008 J jnl
Time-adaptive quantile regression.
Comput. Stat. Data Anal.
Jan Kloppenborg Møller, Henrik Aalborg Nielsen, Henrik Madsen