Technical Papers
A few of these papers can be downloaded.
P. Pinson, T. S. Nielsen, H. Aa. Nielsen, N. K. Poulsen, H. Madsen, Temperature prediction at critical points in district heating systems, Int. Journal of Forecasting (submitted), 2007.
P. Sørensen, N. A. Cutululis, A. Vigueras-Rodriguez, H. Madsen, P. Pinson, L. E. Jensen, J. Hjerrild, M. Donovan, Modelling of power fluctuations from large offshore wind farms, Wind Energy (submitted), 2007.
M. J. Jiménez, H. Madsen, K. K. Andersen, Identification of the main thermal characteristics of building components using MATLAB, Building and Environment, 2007.
H. Aa. Nielsen, H. Madsen, Modelling the heat consumption in district heating systems using a grey-box approach, Energy & Buildings, 38:63-71, 2006.
P. Pinson, G. Kariniotakis, H. Aa. Nielsen, T. S. Nielsen, H. Madsen, Properties of quantile and interval forecasts of wind generation and their evaluation, EWEC 2006, Athens, Greece.
H. Aa. Nielsen, H. Madsen, T. S. Nielsen, Using quantile regression to extend an existing wind power forecasting system with probabilistic forecasts, Wind Energy, 9:95-108, 2006.
H. Aa. Nielsen, T. S. Nielsen, H. Madsen, G. Giebel, J. Badger, L. Landberg, K. Sattler, L. Voulund, J. Tøfting, From wind ensembles to probabilistic information about future wind power production - Results from an actual application, Proceedings of the 9th International Conference on Probabilistic Methods Applied to Power Systems, 2006.
G. Giebel, L. Landberg, H. Madsen, T. S. Nielsen, H. Aa. Nielsen, Introduction to wind technology - Short term (30 min to 72 hrs) prediction for power output from wind farms, Lecture Series 2006-02, von Karman Institute for Fluid Dynamics, ISBN 2-930389-64-8, 2006.
H. Madsen, P. Pinson, G. Kariniotakis, H. Aa. Nielsen, T. S. Nielsen, Standardizing the performance evaluation of short-term wind prediction models, Wind Engineering, 29(6):475-489, 2005.
T. S. Nielsen, H. Madsen, L. Gottlieb, Control of supply temperature in district heating systems with multiple supply points, ECOS 2005, Trondheim, Norway, 2005.
H. Madsen, H. Aa. Nielsen, T. S. Nielsen, A tool for predicting the wind power production of off-shore wind plants, The Copenhagen Off-shore Wind Conference & Exhibition, Copenhagen, Denmark, 2005.
H. Aa. Nielsen, H. Madsen, T. S. Nielsen, J. Badger, G. Giebel, L. Landberg, K. Sattler, H. Feddersen, Wind power ensemble forecasting, Global Windpower 2004, Chicago, USA, 2004.
P. Sørensen, A. D. Hansen, K. Thomsen, H. Madsen, H. Aa. Nielsen, N. K. Poulsen, F. Iov, F. Blaabjerg, B. K. Okkels, Simulation and optimization of wind farm controllers, In Proceedings of the European Wind Energy Conference, London, 2004.
H. Aa. Nielsen, H. Madsen, T. S. Nielsen, Using quantile regression to extend an existing wind power forecasting system with probabilistic forecasts, In Proceedings of the European Wind Energy Conference, London, 2004.
H. Aa. Nielsen, H. Madsen, P. Sørensen, Ultra-short term wind speed forecasting, In Proceedings of the European Wind Energy Conference, London, 2004.
N. R. Kristensen, H. Madsen, S. B. Jørgensen, Parameter estimation in stochastic grey-box models, Automatica, 40:225-237, 2004.
H. Aa. Nielsen, H. Madsen, T. S. Nielsen, J. Badger, G. Giebel, L. Landberg, K. Sattler, H. Feddersen, Wind power ensemble forecasting, In Proceedings of the 2004 Global Wind Power Conference, Chicago, 2004.
G. Kariniotakis, I. Marti, D. Casas, P. Pinson, T. S. Nielsen, H. Madsen, G. Giebel, J. Usaola, I. Sanchez, A. M. Palomares, R. Brownsword, U. Focken, M. Lange, J. Tambke, P. Louka, G. Kallos, C. Lac, G. Descombes, G. Sideratos, What performance can be expected by short-term wind power prediction models depending on site characteristics, EWEC 2004, London, 2004.
L. Landberg, G. Giebel, H. Aa. Nielsen, T. S. Nielsen, H. Madsen, Short-term prediction - an overview, Wind Energy, 6:273-280, 2003.
T. S. Nielsen, Online prediction and control in non-linear stochastic systems, Ph. D. thesis, Technical University of Denmark, 260 pages, 2002.
H. Aa. Nielsen, T. S. Nielsen, H. Madsen, On on-line systems for short-term forecasting for wind energy systems, The OR 2002 Conference, Klagenfurt, Austria, 2002.
T. S. Nielsen, H. Aa. Nielsen, H. Madsen, Prediction of Wind Power using time-varying coefficient-functions, 15th IFAC World Congress, Barcelona, 2002.
H. Aa. Nielsen, H. Madsen, Analyse og simulering af prædiktionsfejl for vindenergiproduktion ved indmelding til NordPool, Research Report (Eltra-work), 2002.
K. K. Andersen, H. Madsen, H. Aa. Nielsen, Optimal control of micro CHP, In System and Simulations in Buildings, Liege, 2002.
T. S. Nielsen, H. Madsen, Control of supply temperature in district heating systems, The 8th international symposium on district heating and cooling, Trondheim, Norway, 2002.
T. S. Nielsen, H. Madsen, H. Aa. Nielsen, G. Giebel, L. Landberg, Prediction of regional wind power, Global Windpower 2002, Paris, France, 2002.
K. K. Andersen, O. P. Palsson, H. Madsen, L. H. Knudsen, Experimental design and setup for heat exchanger modelling, Int. Journal of Heat Exchangers, 1:163-176, 2001.
H. Madsen, T. S. Nielsen, H. Aa. Nielsen, Intelligent control, News from DBDH, 3:14-16, 2001.
H. Aa. Nielsen, H. Madsen, A generalization of some classical time series tools, Computational Statistics and Data Analysis, 37:13-31, 2001.
H. Aa. Nielsen, T. S. Nielsen, A. K. Joensen, H. Madsen, J. Holst, Tracking time-varying coefficient-functions, Int. J. of Adaptive Control and Signal Processing, 14(8):813-828, 2000.
H. Aa. Nielsen, H. Madsen, Predicting the heat consumption in district heating systems using meteorological forecasts, Research Report, IMM, 147 pp, 2000.
K. K. Andersen, H. Madsen, L. Hansen, Modelling the heat dynamics of a building using stochastic differential equations, Energy and Buildings, 31:13-24, 2000.
H. Madsen, T. S. Nielsen, H. Aa. Nielsen, L. Landberg, G. Geibel, Zephyr and short-term wind power prediction models, In Wind Power for the 21st century, Kassel, 2000.
A. K. Joenson, H. Aa. Nielsen, T. S. Nielsen, H. Madsen, Tracking time-varying parameters with local regression, Automatica, 36(8)1199-1204, 2000.
T.S. Nielsen, H. Madsen, H. Aa. Nielsen, Using meteorological forecasts in on-line predictions of wind power, Research Report, ISBN: 87-90707-18-4, IMM, 1999.
H. Aa. Nielsen, Parametric and non-parametric system modelling, Ph.D. Thesis, IMM-DTU, 1999.
T. S. Nielsen, A. K. Joenson, H. Madsen, L. Landberg, G. Giebel, A new statistical reference for predicting wind power, Wind Energy, 1:29-34, 1999.
H. Madsen, T. S. Nielsen, J. Tøfting, WPPT, A tool for on-line wind power prediction, EPRI-DOE-NREL Wind Energy Forecasting Workshop, 23 pp, San Francisco, 1998.
H. Aa. Nielsen, K. K. Andersen, H. Madsen, Emperical determined model for the power consumption in eastern Denmark (in Danish), Research Report No. 18, IMM, 1998.
P. Sadegh, H. Madsen, J. Holst, Input design for linear dynamic systems using maxmin criteria, Journal Information and Optimization Sciences, 19:223-240, 1998.
T. S. Nielsen, H. Madsen, Statistical methods for predicting wind power, EWEC'97, Dublin, 1997.
H. Aa. Nielsen, H. Madsen, Wind power prediction using ARX models and Neural Networks, In Proceedings of the 15th IASTED International Conference on Modelling, Identification and Control, p. 310-313, ISBN 0-88986-193-5, Anaheim, 1996.
H. Aa. Nielsen, H. Madsen, T. S. Nielsen, Conditional parametric ARX-models for modelling time delays in district heating systems, International Symposium on District Heating and Simulation, Reykjavik, 1997.
H. Aa. Nielsen, H. Madsen, Development of methods for evaluation of electricity savings and load levelling measures, Aggregated power consumption models for the eastern part of Denmark, NESA Report, EFP95, 1997.
B. Nielsen, H. Madsen, Predictive control of air temperature in greenhouses, 13th World Congress of IFAC, Vol. B: 399-404, San Francisco, 1996.
B. Nielsen, H. Madsen, Identification of transfer functions for control of greenhouse air temperature, Journal Agric. Engng. Research, 60:25-34, 1995.
H. Madsen, J. Holst, Estimation of continuous time models for the heat dynamics of a building, Energy and Building, 22:67-79, 1995.
H. Madsen, K. Sejling, T. S. Nielsen, H. Aa. Nielsen, U. S. Nielsen, Wind power prediction tool in control dispatch centres, ELSAM-report (ISBN 87-87090-25-2), 190 pp., 1995.
H. Madsen, K. Sejling, H. T. Søgaard, O. P. Palsson, On flow and supply temperature control in district heating systems, Heat Recovery Systems and CHP, 14:613-620, 1994
O. P. Palsson, H. Madsen, H. T. Søgaard, Generalized predictive control for non-stationary systems, Automatica, 30:1991-1997, 1994.
H. Madsen, U. S. Jensen, E. Pelgrum, The development of a forecasting model for the prediction of wind power to be used in central dispatch centers, EWEC'94, 288-289, Thessaloniki, 1994.
H. Madsen, B. Bøhm, K. Sejling, H. Zhao, D. Andersen, H. Ravn, Optimum operation of district heating systems, Research Report (EFP), 292 pp, IMM, DTU, 1994.
O. P. Palsson, H. Madsen, H. T. Søgaard, Application of predictive control in district heating systems, Journal of Power and Energy, 207:157-163, 1993.
H. T. Søgaard, H. Madsen, On-line estimation of time-varying delays in district heating systems, Proceedings of 1991 European Simulation Conference, 619-624, 1991.
H. Madsen, O. P. Palsson, K. Sejling, H. T. Søgaard, Models and methods for optimization of district heating systems, Research Report (EFP), IMSOR, 1990.
H. Madsen, K. Sejling, H. T. Søgaard, O. Majland, J. Jessen, E. Christiansen, PRESS - Et redskab til optimal regulering af fremløbstemperaturen, Fjernvarmen No. 2:14-16, 1990
K. Sejling, H. Madsen, J. Holst, Adaptive k-step predictions of heat consumption in a district heating system, Eighth International Symposium on Forecasting, Amsterdam, 1988.
H. Madsen, J. Holst, P. Thyregod, A method for using hourly predictions of weather observations in optimal control of heat supply to buildings, 3. Int. Conference on Building Energy Management, 380-389, Lausanne, 1987.
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