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Jan Kloppenborg Moller
Jan Kloppenborg Moller
Correu electrònic verificat a dtu.dk
Títol
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Non‐parametric probabilistic forecasts of wind power: required properties and evaluation
P Pinson, HA Nielsen, JK Møller, H Madsen, GN Kariniotakis
Wind Energy: An International Journal for Progress and Applications in Wind …, 2007
3952007
Time-adaptive quantile regression
JK Møller, HA Nielsen, H Madsen
Computational Statistics & Data Analysis 52 (3), 1292-1303, 2008
1622008
Short-term probabilistic forecasting of wind speed using stochastic differential equations
EB Iversen, JM Morales, JK Møller, H Madsen
International Journal of Forecasting 32 (3), 981-990, 2016
1362016
Probabilistic forecasts of solar irradiance using stochastic differential equations
EB Iversen, JM Morales, JK Møller, H Madsen
Environmetrics 25 (3), 152-164, 2014
1002014
Inhomogeneous Markov models for describing driving patterns
EB Iversen, JK Møller, JM Morales, H Madsen
IEEE Transactions on Smart Grid 8 (2), 581-588, 2016
802016
From state dependent diffusion to constant diffusion in stochastic differential equations by the Lamperti transform
JK Møller, H Madsen
Technical University of Denmark, DTU Informatics, Building 321, 2010
672010
An introduction to multivariate probabilistic forecast evaluation
MB Bjerregård, JK Møller, H Madsen
Energy and AI 4, 100058, 2021
492021
Probabilistic forecasts of wind power generation by stochastic differential equation models
JK Møller, M Zugno, H Madsen
Journal of Forecasting 35 (3), 189-205, 2016
472016
Hidden Markov Models for indirect classification of occupant behaviour
J Liisberg, JK Møller, H Bloem, J Cipriano, G Mor, H Madsen
Sustainable Cities and Society 27, 83-98, 2016
442016
A Markov-Switching model for building occupant activity estimation
S Wolf, JK Møller, MA Bitsch, J Krogstie, H Madsen
Energy and Buildings 183, 672-683, 2019
422019
Grey‐box modelling of flow in sewer systems with state‐dependent diffusion
A Breinholt, FÖ Thordarson, JK Møller, M Grum, PS Mikkelsen, H Madsen
Environmetrics 22 (8), 946-961, 2011
392011
Recent developments in multivariate wind and solar power forecasting
ML Sørensen, P Nystrup, MB Bjerregård, JK Møller, P Bacher, H Madsen
Wiley Interdisciplinary Reviews: Energy and Environment 12 (2), e465, 2023
382023
Prioritize effluent quality, operational costs or global warming?–using predictive control of wastewater aeration for flexible management of objectives in WRRFs
PA Stentoft, T Munk-Nielsen, JK Møller, H Madsen, B Valverde-Pérez, ...
Water Research 196, 116960, 2021
372021
ctsmr-continuous time stochastic modeling in R
R Juhl, JK Møller, H Madsen
arXiv preprint arXiv:1606.00242, 2016
362016
Towards model predictive control: online predictions of ammonium and nitrate removal by using a stochastic ASM
PA Stentoft, T Munk-Nielsen, L Vezzaro, H Madsen, PS Mikkelsen, ...
Water Science and Technology 79 (1), 51-62, 2019
352019
Heat load forecasting using adaptive temporal hierarchies
HG Bergsteinsson, JK Møller, P Nystrup, ÓP Pálsson, D Guericke, ...
Applied Energy 292, 116872, 2021
342021
Leveraging stochastic differential equations for probabilistic forecasting of wind power using a dynamic power curve
EB Iversen, JM Morales, JK Møller, PJ Trombe, H Madsen
Wind Energy 20 (1), 33-44, 2017
342017
Probabilistic load forecasting considering temporal correlation: Online models for the prediction of households’ electrical load
J Lemos-Vinasco, P Bacher, JK Møller
Applied Energy 303, 117594, 2021
292021
Cross-validation of a glucose-insulin-glucagon pharmacodynamics model for simulation using data from patients with type 1 diabetes
SL Wendt, A Ranjan, JK Møller, S Schmidt, CB Knudsen, JJ Holst, ...
Journal of diabetes science and technology 11 (6), 1101-1111, 2017
292017
A formal statistical approach to representing uncertainty in rainfall–runoff modelling with focus on residual analysis and probabilistic output evaluation–Distinguishing …
A Breinholt, JK Møller, H Madsen, PS Mikkelsen
Journal of hydrology 472, 36-52, 2012
282012
En aquests moments el sistema no pot dur a terme l'operació. Torneu-ho a provar més tard.
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