K. K. Andersen, H. Madsen, and L. Hansen.: Modelling the heat dynamics of a building using stochastic differential equations.
Energy and Buildings, 31: 13-24, 2000.
K. K. Andersen, O. P. Palsson, and L. H. Knudsen H. Madsen.: Experimental design and setup for heat exchanger modelling.
Int. Journal of Heat Exchangers, 1: 163-176, 2001.
Klaus Kaae Andersen, Henrik Madsen, and Henrik Aalborg Nielsen.: Optimal control of mircro CHP.
In System and Simulations in Buildings, Liege, Belgium, 2002.
URL http://www.imm.dtu.dk/pubdb/p.php?1492.
Peder Bacher, Henrik Madsen, and Henrik Aalborg Nielsen.: Online short-term solar power forecasting.
Solar Energy, 83 (10): 1772-1783, 2009.
ISSN 0038-092X.
Peder Bacher, Henrik Madsen, and Henrik Aalborg Nielsen.: Online short-term solar power forecasting.
In Proceedings from 1'th International Workshop on Integration of Solar Power into Power Systems, 2011.
URL http://www.solarintegrationworkshop.org/.
Presented at: International Workshop on Integration of Solar Power into Power Systems ; 1 : Aarhus, Denmark, 2011 .
Lasse Engbo Christiansen, Henrik Aalborg Nielsen, Torben Skov Nielsen, and Henrik Madsen.: Automatic selection of tuning parameters in wind power prediction.
Technical report, Informatics and Mathematical Modelling, Technical University of Denmark, DTU, 2007.
URL http://www2.imm.dtu.dk/pubdb/views/publication_details.php?id=5316.
(pdf) .
ENFOR/08EKS0004A001-A.: Forecast requirements for house temperature control with flexible energy prices, 2011.
(pdf) .
ENFOR/08EKS0004A002-A.: Modelling the Danish Real-Time Electricity Market, 2013.
(pdf) .
ENFOR/08EKS0004A003-A.: Simulation of 5 minute prices based on actual 1 hour data, 2013.
(pdf) .
ENFOR/08EKS0004A004-A.: Forecasts of actual imbalance unit costs and simulated 5 minute prices for the two Danish Nordpool Spot price areas, 2013.
(pdf) .
ENFOR/08EKS0004A005-A.: PRESS web-service API, 2013.
.
ENFOR/08EKS0004A006-A.: FlexPower WP5 summary, 2013.
(pdf) .
A.M. Espensen, W. Bergstrøm, Henrik Aalborg Nielsen, and Henrik Madsen.: Implementation of mini chp.
In 7. International Symposium on district Heating and Simulation, page 7 pp., 1997.
Presented at: 7. International Symposium on District Heating and Simulation : Reykjavik, 1997. Note: 1.
G. Giebel, L. Landberg, T. S. Nielsen, and H. Madsen.: The zephyr project - the next generation prediction system.
In Proceedings of the Global Wind Power Conference and Exhibition, Paris, France, 2002.
G. Giebel, J. Badger, L. Landberg, Henrik Aalborg Nielsen, Henrik Madsen, K. Sattler, and H. Feddersen.: Wind power forecasting using ensembles.
In Proceedings of the 2004 Global Windpower Conference and Exhibition, 2004.
PSO-finansieret Forskning og Udvikling, 2004 .
G. Giebel, L. Landberg, Henrik Madsen, Torben Skov Nielsen, and Henrik Aalborg Nielsen.: Introduction to wind technology.
In Lecture Series 2006-02. 2006.
ISBN 2-930389-64-8.
Gregor Giebel, Jake Badger, Lars Landberg, Henrik Aalborg Nielsen, Torben Skov Nielsen, Henrik Madsen, Kai Sattler, Henrik Feddersen, Henrik Vedel, John Tøfting, Lars Kruse, and Lars Voulund.: Wind power prediction using ensembles.
Technical report, 2005.
URL http://www2.imm.dtu.dk/pubdb/p.php?4260.
(pdf) .
Lars Henrik Hansen, Judith L. Jacobsen, Henrik Aalborg Nielsen, and Torben Skov Nielsen.: Approximating building components using stochastic differential equations.
In System Identification Competition, Joint Research Centre, European Commission (EUR 16359). Bloem, J.J. (ed.), 1996.
Jan Holst, Erik Lindström, Henrik Madsen, and Henrik Aalborg Nielsen.: Model validation in non-linear continuous-discrete grey-box models.
In Proceedings of the 13th IFAC Symposium on System Identification, SYSID 2003, Rotterdam, The Netherlands, August, 2003.
URL http://www.imm.dtu.dk/pubdb/p.php?2507.
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Alfred K. Joensen, G. Giebel, L. Landberg, Henrik Madsen, and Henrik Aalborg Nielsen.: Model output statistics applied to wind power prediction.
In Wind Energy for the Next Millenium, European Wind Energy Conference, pages 1177-1180, 1999.
Presented at: Wind Energy for the Next Millenium, 1999 .
Alfred Karsten Joensen, Henrik Aalborg Nielsen, Torben Skov Nielsen, and Henrik Madsen.: Tracking time-varying parameters with local regression.
Automatica, 36 (8): 1199-1204, 2000.
.
Tryggvi Jónsson, Pierre Pinson, Henrik Madsen, and Henrik Aalborg Nielsen.: Forecasting day-ahead electricity prices and regulation costs in markets with significant wind power penetration.
In Proceedings of the EWEC'09, European Wind Energy Conference 2009, 2009.
Presented at: EWEC'09, European Wind Energy Conference 2009, Marseille, France, 2009.
G. Kariniotakis, I. Martí, 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, G. Lac, G. Descombes, and G. Sideratos.: What performance can be expected by short-term wind power prediction models depending on site characteristics.
In In Proceedings of the European Wind Energy Conference, London, 2004.
.
N. R. Kristensen, H. Madsen, and S. B. Jørgensen.: Parameter estimation in stochastic grey-box models.
Automatica, 40: 225-237, 2004.
Lars Landberg, Gregor Giebel, Henrik Aalborg Nielsen, Torben Skov Nielsen, and Henrik Madsen.: Short-term prediction - an overview.
Wind Energy, 6 (3): 273-280, 2003.
URL http://www.imm.dtu.dk/pubdb/p.php?2506.
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Lars Landberg, Gregor Giebel, Jake Badger, Henrik Aalborg Nielsen, Torben Skov Nielsen, Henrik Madsen, Pierre Pinson, Kai Sattle, Henrik Feddersen, and Henrik Vedel.: Ensemble predictions: Understanding uncertainties.
In American WindPower Conference 2007, Los Angeles, California, Los Angeles, California, 2007. American WindPower.
URL http://www2.imm.dtu.dk/pubdb/views/publication_details.php?id=5240.
Presented at: American WindPower Conference 2007 : Los Angeles, California, 2007.
K. K. Andersen M. J. Jiménez, H. Madsen.: Identification of the main thermal characteristics of building components using matlab.
Building and Environment, 2007.
H. Madsen and J. Holst.: Estimation of continuous time models for the heat dynamics of a building.
Energy and Building, 22: 67-79, 1995.
H. Madsen, J. Holst, and P. Thyregod.: A method for using hourly predictions of weather observations in optimal control of heat supply to buildings.
In Proceedings of the 3. Int. Conference on Building Energy Management, pages 380-389, Lausanne, 1987.
H. Madsen, O. P. Palsson, K. Sejling, and H. T. Søgaard.: Models and methods for optimization of district heating systems.
Research report (efp), IMSOR, DTU, 1990a.
H. Madsen, K. Sejling, H. T. Søgaard, O. Majland, J. Jessen, and E. Christiansen.: Press - et redskab til optimal regulering af fremløbstemperaturen.
Fjernvarmen, 2: 14-16, 1990b.
H. Madsen, B. Bøhm, K. Sejling, H. Zhao, D. Andersen, and H. Ravn.: Optimum operation of district heating systems.
Research report (efp), IMM, DTU, 1994a.
H. Madsen, U. S. Jensen, and E. Pelgrum.: The development of a forecasting model for the prediction of wind power to be used in central dispatch centers.
In EWEC'94, Thessaloniki, 1994b.
H. Madsen, K. Sejling, H. T. Søgaard, and O. P. Palsson.: On flow and supply temperature control in district heating systems.
Heat Recovery Systems and CHP, 14: 613-620, 1994c.
H. Madsen, K. Sejling, T. S. Nielsen, H. Aa. Nielsen, and U. S. Nielsen.: Wind power prediction tool in control dispatch centres.
Elsam-report, ELSAM, 1995.
190 pp., (ISBN 87-87090-25-2).
H. Madsen, T. S. Nielsen, and J. Tøfting.: A tool for on-line wind power prediction.
In Proceedings of the EPRI-DOE-NREL Wind Energy Forecasting Workshop, San Francisco, 1998.
Henrik Madsen, Torben Skov Nielsen, and Henning T. Søgaard.: Control of supply temperature : Efp 1323/93-07.
Technical report, 1996.
Henrik Madsen, L. Landberg, G. Geibel, and Henrik Aalborg Nielsen.: Zephyr and short-term wind power prediction models.
In In Wind power for the 21st century, Kassel, 2000a.
Presented at: In Wind power for the 21st century : Kassel, 2000.
Henrik Madsen, Torben Skov Nielsen, Henrik Aalborg Nielsen, and L. Landberg.: Short-term prediction of wind farm electricity production.
In European Congress on Computational Methods in Applied Sciences and Engineering, Barcelona, 2000b.
Presented at: European Congress on Computational Methods in Applied Sciences and Engineering, Barcelona, 2000.
Henrik Madsen, Torben Skov Nielsen, and Henrik Aalborg Nielsen.: Intelligent control.
Danish Board of District Heating - News from DBDH, (3): 14-16, 2001.
URL http://www.imm.dtu.dk/pubdb/p.php?498.
Henrik Madsen, G. Kariniotakis, Henrik Aalborg Nielsen, Torben Skov Nielsen, and Pierre Pinson.: A protocol for standardizing the performance evaluation of short-term wind power prediction models.
In Proceedings of the 2004 Global Windpower Conference and Exhibition, 2004.
URL http://www.awea.org.
Presented at: Proceedings of the 2004 Global Windpower Conference and Exhibition, 2004.
Henrik Madsen, Henrik Aalborg Nielsen, and Torben Skov Nielsen.: A tool for predicting the wind power production of off-shore wind plants.
In Proceedings of the Copenhagen Offshore Wind Conference & Exhibition, 2005a.
URL http://www2.imm.dtu.dk/pubdb/p.php?4255.
(pdf) .
Henrik Madsen, Pierre Pinson, G. Kariniotakis, Henrik Aalborg Nielsen, and Torben Skov Nielsen.: Standardizing the performance evaluation of short-term wind prediction models.
Wind Engineering, 29 (6): 475-489, 2005b.
URL http://www2.imm.dtu.dk/pubdb/p.php?4262.
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Jan Kloppenborg Møller, Henrik Madsen, and Henrik Aalborg Nielsen.: Combined forecast and quantile regression for wind power prediction.
Technical report, DTU Informatics, Lyngby, 2008a.
(pdf) .
Jan Kloppenborg Møller, Henrik Aalborg Nielsen, and Henrik Madsen.: Time-adaptive quantile regression.
Computational Statistics & Data Analysis, 52 (3): 1292-1303, 2008b.
ISSN 0167-9473.
.
B. Nielsen and H. Madsen.: Identification of transfer functions for control of greenhouse air temperature.
Journal Agric. Engng. Research, 60: 25-34, 1995a.
B. Nielsen and H. Madsen.: Predictive control of air temperature in greenhouses.
In Proceedings of the 13th World Congress of IFAC, volume B, pages 399-404, San Francisco, 1996a.
Henrik Aalborg Nielsen.: Driftmæssig optimering af energiproduktion på kraftvarmeværk med akkumulatortank.
In Bo Leckner, editor, Optimeringsmetoder för korttidsplanering av fjärrvärmeproduktion, 1991.
Presented at: Optimeringsmetoder för korttidsplanering av fjärrvärmeproduktion, 1991.
Henrik Aalborg Nielsen.: LFLM version 1.0, An S-PLUS / R library for locally| weighted fitting of linear models.
Technical report, Department of Mathematical Modelling, Technical University of Denmark, DK-2800 Lyngby, Denmark, 1997.
(pdf) .
Henrik Aalborg Nielsen.: Parametric and Non-Parametric System Modelling.
PhD thesis, Technical University of Denmark, Informatics and Mathematical Modelling, Mathematical Statistics, 1999.
(pdf) .
Henrik Aalborg Nielsen and Henrik Madsen.: Model for brændselsforbrug og elproduktion på korsør kraftvarmeværk.
Technical report, Institut for Matematisk Modellering, Danmarks Tekniske Universitet, Lyngby, 1995b.
(pdf) .
Henrik Aalborg Nielsen and Henrik Madsen.: Wind Power Prediction using ARX Models and Neural Networks : Proceedings of the Fifteenth IASTED International Conference on Modelling, Identification and Control.
In Proceedings of the 15th IASTED International Conf. on Modelling, Identification adn Control, 1996b.
Presented at: 15th IASTED International Conference on Modelling, Identification and Control, 1996 (pdf) .
Henrik Aalborg Nielsen and Henrik Madsen.: Development of methods for evaluation of electricity savings and load levelling measures, part 1: Aggregated power consumption models for the eastern part of denmark.
Technical report, Department of Mathematical Modelling, Technical University of Denmark, DK-2800 Lyngby, Denmark in collaboration with NESA A/S,, 1997a.
(pdf) .
Henrik Aalborg Nielsen and Henrik Madsen.: Development of methods for evaluation of electricity savings and load levelling measures, part 3: Experimental assessment of the effect of a power conservation campaign.
Technical report, Department of Mathematical Modelling, Technical University of Denmark, DK-2800 Lyngby, Denmark in collaboration with NESA A/S,, 1997b.
(pdf) .
Henrik Aalborg Nielsen and Henrik Madsen.: Some tools for identification of nonlinear time series.
Technical report, Department of Mathematical Modelling, Technical University of Denmark, DK-2800 Lyngby, Denmark, 1998.
(pdf) .
Henrik Aalborg Nielsen and Henrik Madsen.: Predicting the heat consumption in district heating systems using meteorological forecasts.
Technical report, Informatics and Mathematical Modelling, Technical University of Denmark, DTU, 2000.
(pdf) .
Henrik Aalborg Nielsen and Henrik Madsen.: A generalization of some classical time series tools.
Computational Statistics & Data Analysis, 37 (1): 13-31, 2001.
ISSN 0167-9473.
.
Henrik Aalborg Nielsen and Henrik Madsen.: Analyse og simulering af prædiktionsfejl for vindenergiproduktion ved indmelding til nordpool.
Technical report, 2002a.
URL http://www.imm.dtu.dk/pubdb/p.php?1720.
(pdf) .
Henrik Aalborg Nielsen and Henrik Madsen.: Modelling the heat consumption in district heating systems using a grey-box approach.
In Proceedings of the International Workshop on Dynamic Analysis Methods Applied to Energy Performance Assessment of Buildings, 2004a.
URL http://www.paslink.org.
.
Henrik Aalborg Nielsen and Henrik Madsen.: Forecasting wind speeds on the minute time-scale using up-stream information.
Technical report, 2004b.
URL http://www.imm.dtu.dk/pubdb/p.php?3548.
(pdf) .
Henrik Aalborg Nielsen and Henrik Madsen.: Modelling the heat consumption in district heating systems using a grey-box approach.
Energy and Buildings, 38 (1): 63-71, 2006.
ISSN 0378-7788.
URL http://www2.imm.dtu.dk/pubdb/p.php?4256.
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Henrik Aalborg Nielsen, Henrik Madsen, and Torben Skov Nielsen.: Conditionally Parametric ARX-models for Modelling time delays in district heating systems.
In Ólafur Pétur Pálsson, editor, International Symposium on District Heating and Simulation, 1997a.
Presented at: International Symposium on District Heating and Simulation, 1997 .
Henrik Aalborg Nielsen, Torben Skov Nielsen, and Henrik Madsen.: Local fitting of autoregressive models with external input.
In Helle Holst, Lisbeth La Cour, and Agnar Høskuldsson, editors, Symposium i anvendt statistik, pages 175-188, 1997b.
Presented at: Symposium i anvendt statistik, 1997 .
Henrik Aalborg Nielsen, Torben Skov Nielsen, Henrik Madsen, and Setsuo Sagara.: ARX-models with parameter variations estimated by| local fitting.
In Yoshikazu Sawaragi, editor, 11th IFAC Symposium on System Identification, volume 2, pages 475-480, 1997c.
Presented at: 11th IFAC Symposium on System Identification, 1997 .
Henrik Aalborg Nielsen, Klaus Kaae Andersen, and Henrik Madsen.: Empirisk bestemt model for elforbruget i Østdanmark.
Technical report, Institut for Matematisk Modellering, Danmarks Tekniske Universitet, Lyngby, 1998.
(pdf) .
Henrik Aalborg Nielsen, Torben Skov Nielsen, Alfred K. Joensen, Henrik Madsen, and Jan Holst.: Tracking time-varying coefficient-functions.
Technical Report IMM-REP-1999-9, 1999a.
(pdf) .
Henrik Aalborg Nielsen, Henrik Madsen, and Torben Skov Nielsen.: Load scheduling for decentralized CHP plants.
Technical report, Informatics and Mathematical Modelling, Technical University of Denmark, DTU, 2000a.
(pdf) .
Henrik Aalborg Nielsen, Torben Skov Nielsen, Alfred K. Joensen, Henrik Madsen, and J. Holst.: Tracking time-varying coefficient-functions.
International Journal of Adaptive Control and Signal Processing, 14 (8): 813-828, 2000b.
ISSN 0890-6327.
.
Henrik Aalborg Nielsen, Torben Skov Nielsen, and Henrik Madsen.: On on-line systems for short-term forecasting for energy systems.
In Proceedings of the OR 2002 conference, pages 265-271. Springer, 2002a.
URL http://www.imm.dtu.dk/pubdb/p.php?1735.
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Henrik Aalborg Nielsen, Torben Skov Nielsen, and Henrik Madsen.: Using meteorological forecasts for short term wind power forecasting.
In Proceedings of the IEA R&D Wind Annex XI Joint Action Symposium on Wind Forecasting Techniques, pages 49-58, 2002b.
URL http://www.imm.dtu.dk/pubdb/p.php?1725.
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Henrik Aalborg Nielsen, Henrik Madsen, and Torben Skov Nielsen.: Using quantile regression to extend an existing wind power forecasting system with probabilistic forecasts.
In Scientific Proceedings of the European Wind Energy Conference & Exhibition, 2004a.
URL http://www.ewea.org.
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Henrik Aalborg Nielsen, Henrik Madsen, Torben Skov Nielsen, J. Badger, G. Giebel, L. Landberg, K. Sattler, and H. Feddersen.: Wind power ensemble forecasting.
In Proceedings of the 2004 Global Windpower Conference and Exhibition, 2004b.
URL http://www.imm.dtu.dk/pubdb/p.php?3128.
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Henrik Aalborg Nielsen, Henrik Madsen, Torben Skov Nielsen, Jake Badger, Gregor Giebel, Lars Landberg, Kai Sattler, and Henrik Feddersen.: Comparison of ensemble forecasts with the measurements from the meteorological mast at risø national laboratory.
Technical report, 2004c.
URL http://www.imm.dtu.dk/pubdb/p.php?3549.
(pdf) .
Henrik Aalborg Nielsen, Henrik Madsen, and Poul Sørensen.: Ultra-short term wind speed forecasting.
In Proceedings of the European Wind Energy Conference & Exhibition, 2004d.
URL http://www.ewea.org.
.
Henrik Aalborg Nielsen, Henrik Madsen, Torben Skov Nielsen, Jake Badger, Gregor Giebel, Lars Landberg, Kai Sattler, and Henrik Feddersen.: Wind Power Ensemble Forecasting Using Wind Speed and Direction Ensembles from ECMWF or NCEP.
Technical report, 2005a.
URL http://www2.imm.dtu.dk/pubdb/p.php?4258.
(pdf) .
Henrik Aalborg Nielsen, Torben Skov Nielsen, Henrik Madsen, and Gregor Giebel.: Candidate prediction models and methods.
Technical report, 2005b.
URL http://www2.imm.dtu.dk/pubdb/p.php?3890.
(pdf) .
Henrik Aalborg Nielsen, Devon Yates, Henrik Madsen, Torben Skov Nielsen, Jake Badger, Gregor Giebel, Lars Landberg, Kai Sattler, and Henrik Feddersen.: Analysis of the results of an on-line wind power quantile forecasting system.
Technical report, 2005c.
URL http://www2.imm.dtu.dk/pubdb/p.php?4259.
(pdf) .
Henrik Aalborg Nielsen, Henrik Madsen, and Torben Skov Nielsen.: Using quantile regression to extend an existing wind power forecasting system with probabilistic forecasts.
Wind Energy, 9 (1-2): 95-108, 2006a.
URL http://www2.imm.dtu.dk/pubdb/p.php?4254.
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Henrik Aalborg Nielsen, Torben Skov Nielsen, Henrik Madsen, Gregor Giebel, Jake Badger, Lars Landberg, Kai Sattler, Lars Voulund, and John Tøfting.: From wind ensembles to probabilistic information about future wind power production - results from an actual application.
In Prooceedings of the 9th International Conference on Probabilistic Methods Applied to Power Systems, pages 1-8. IEEE conference proceedings, 2006b.
ISBN 978-91-7178-585-5.
Presented at: 9th International Conference on Probabilistic Methods Applied to Power Systems : Stockholm, 2006. Note: Copyright: 2006 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE .
Henrik Aalborg Nielsen, Torben Skov Nielsen, Henrik Madsen, Maria J. San Isidro Pindado, and Ignacio Marti.: Optimal combination of wind power forecasts.
Wind Energy, 10 (5): 471-482, 2007a.
.
Henrik Aalborg Nielsen, Pierre Pinson, Lasse Engbo Christiansen, Torben Skov Nielsen, Henrik Madsen, Jake Badger, Gregor Giebel, and Hans F. Ravn.: Improvement and automation of tools for short term wind power forecasting.
In EWEC 2007, 'European Wind Energy Conference', Scientific Track, Milan, Italy, 2007b.
Presented at: EWEC 2007, 'European Wind Energy Conference', Scientific Track, Milan, Italy, 2007 .
Henrik Aalborg Nielsen, Pierre Pinson, Torben Skov Nielsen, Lasse Engbo Christiansen, Henrik Madsen, Gregor Giebel, Jake Badger, Xiaoli Guo Larsén, Hans V. Ravn, John Tøfting, and Lars Voulund.: Intelligent wind power prediction systems : Final report.
Technical report, Informatics and Mathematical Modelling, Technical University of Denmark, DTU, 2007c.
URL http://www2.imm.dtu.dk/pubdb/views/publication_details.php?id=5328.
(pdf) .
Henrik Aalborg Nielsen, Torben Skov Nielsen, and Henrik Madsen.: An overview of wind power forecast types and their use in large-scale integration of wind power.
In Proceedings of the 10th International Workshop on Large-scale Integration of Wind Power into Power Systems as well as on Transmission Networks for Offshore Wind Plants, Aarhus, Denmark, October 25-26 2011.
URL http://www.windintegrationworkshop.org/aarhus2011.
.
T. S. Nielsen.: Online prediction and control in non-linear stochastic systems.
PhD thesis, Technical University of Denmark, 2002.
260 pages (pdf) .
T. S. Nielsen and H. Madsen.: Statistical methods for predicting wind power.
In Proceedings of EWEC'97, Dublin, 1997c.
T. S. Nielsen and H. Madsen.: Control of supply temperature in district heating systems.
In Prooceedings of the 8th international symposium on district heating and cooling, Trondheim, Norway, 2002b.
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T. S. Nielsen, A. K. Joenson, H. Madsen, L. Landberg, and G. Giebel.: A new statistical reference for predicting wind power.
Wind Energy, 1: 29-34, 1999b.
T. S. Nielsen, H. Madsen, and L. Gottlieb.: Control of supply temperature in district heating systems with multiple supply points.
In ECOS 2005, Trondheim, Norway, 2005d.
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Torben Skov Nielsen, Henrik Aalborg Nielsen, Henrik Madsen, John Tofting, Henning Parbo, Arne Grud, and Aksel Gruelund Sorensen.: Using meteorological forecasts in on-line predictions of wind power.
Technical report, 1999c.
Torben Skov Nielsen, Henrik Madsen, Henrik Aalborg Nielsen, L. Landberg, and G. Giebel.: Zephyr - the prediction models.
In European Wind Energy Conference 2001, Copenhagen, volume 1, page 1248. WIP-Renewable Energies/ETA, 2001.
URL http://www.imm.dtu.dk/pubdb/p.php?683.
(pdf) .
Torben Skov Nielsen, Henrik Madsen, and Henrik Aalborg Nielsen.: Prediction of wind power using time-varying coefficient-functions.
In Proceedings of the 15th IFAC World Congress on Automatic Control, Barcelona, Spain, 2002c.
Presented at: 15th IFAC World Congress on Automatic Control, 2002 .
Torben Skov Nielsen, Henrik Madsen, Henrik Aalborg Nielsen, G. Giebel, and L. Landberg.: Prediction of regional wind power.
In Proceedings of the 2002 Global Windpower Conference, Paris, France, 2002d.
URL http://www.imm.dtu.dk/pubdb/p.php?1733.
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Torben Skov Nielsen, Henrik Aalborg Nielsen, Henrik Madsen, Pierre Pinson, Georges Kariniotakis, Nils Siebert, Ignacio Marti, Matthias Lange, Ulrich Focken, Lueder von Bremen, Petroula Louka, George Kallos, and George Galanis.: Advanced statistical modeling and uncertainty assessment for wind power forecasting.
In Proceedings of the European Wind Energy Conference & Exhibition 2006, 2006c.
Presented at: European Wind Energy Conference & Exhibition 2006, 2006.
O. P. Palsson, H. Madsen, and H. T. Søgaard.: Application of predictive control in district heating systems.
Journal of Power and Energy, 207: 157-163, 1993.
O. P. Palsson, H. Madsen, and H. T. Søgaard.: Generalized predictive control for non-stationary systems.
Automatica, 30: 1991-1997, 1994.
Pierre Pinson, G. Kariniotakis, Henrik Aalborg Nielsen, Torben Skov Nielsen, and Henrik Madsen.: Properties of quantile and interval forecasts of wind generation and their evaluation.
In Proceedings of the European Wind Energy Conference & Exhibition, 2006.
URL http://www2.imm.dtu.dk/pubdb/p.php?4250.
Presented at: Proceedings of the European Wind Energy Conference & Exhibition, 2006. Note: http://www.ewea.org .
Pierre Pinson, Jan Kloppenborg Møller, Henrik Aalborg Nielsen, Henrik Madsen, and George N. Kariniotakis.: Evaluation of nonparametric probabilistic forecasts of wind power.
Technical report, Informatics and Mathematical Modelling, Technical University of Denmark, DTU, 2007a.
Pierre Pinson, Henrik Aalborg Nielsen, and Henrik Madsen.: Robust estimation of time-varying coefficient functions - application to the modeling of wind power production.
Technical report, Informatics and Mathematical Modelling, Technical University of Denmark, DTU, 2007b.
(pdf) .
Pierre Pinson, Henrik Aalborg Nielsen, Henrik Madsen, and G. Kariniotakis.: Skill forecasting from different wind power ensemble prediction methods.
In The 2nd Conference on `The Science of Making Torque from Wind', Lyngby, Denmark, 2007c.
URL http://www2.imm.dtu.dk/pubdb/views/publication_details.php?id=5074.
Presented at: The 2nd Conference on `The Science of Making Torque from Wind' ; 2 : Lyngby, Denmark, 2007 .
Pierre Pinson, Henrik Aalborg Nielsen, Henrik Madsen, Matthias Lange, and Georges Kariniotakis.: Methods for the estimation of the uncertainty of wind power forecasts.
Technical report, 2007d.
(pdf) .
Pierre Pinson, Henrik Aalborg Nielsen, Jan Kloppenborg Møller, Henrik Madsen, and Georges Kariniotakis.: Non-parametric probabilistic forecasts of wind power: required properties and evaluation.
Wind Energy, 10 (6): 497-587, 2007e.
ISSN 1095-4244.
URL http://www2.imm.dtu.dk/pubdb/p.php?5068.
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Pierre Pinson, Torben Skov Nielsen, Henrik Aalborg Nielsen, Niels Kjølstad Poulsen, and Henrik Madsen.: Temperature prediction in district heating systems with cFIR models.
Technical report, Informatics and Mathematical Modelling, Technical University of Denmark, DTU, 2007f.
(pdf) .
Pierre Pinson, George Papaefthymiou, Bernd Klockl, and Henrik Aalborg Nielsen.: Generation of statistical scenarios of short-term wind power production.
In IEEE PowerTech Conference 2007, Lausanne, Switzerland, pages 491 - 496. IEEE conference proceedings, 2007g.
ISBN 978-1-4244-2189-3.
Presented at: IEEE PowerTech Conference 2007, Lausanne, Switzerland, 2007. Note: Copyright: 2007 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE .
Pierre Pinson, Henrik Madsen, Henrik Aalborg Nielsen, Torben Skov Nielsen, and Niels Kjølstad Poulsen.: Modelling the nonlinear temperature response of district heating systems for model predictive control applications.
In Proccedings of the 11th International Symposium on District Heating and Cooling, 2008a.
Presented at: 11th International Symposium on District Heating and Cooling, 2008 .
Pierre Pinson, Henrik Aalborg Nielsen, Henrik Madsen, and Torben Skov Nielsen.: Local linear regression with adaptive orthogonal fitting for the wind power application.
Statistics and Computing, 18 (1): 59-71, 2008b.
ISSN 0960-3174.
.
Pierre Pinson, Henrik Madsen, Henrik Aalborg Nielsen, Torben Skov Nielsen, Gregor Giebel, and Matthias Lange.: Communication of wind power forecast uncertainty: towards a standard.
Technical report, 2009a.
Pierre Pinson, Henrik Aalborg Nielsen, Henrik Madsen, and G. Kariniotakis.: Skill forecasting from ensemble predictions of wind power.
Applied Energy, 86 (7-8): 1326-1334, 2009b.
ISSN 0306-2619.
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Pierre Pinson, Torben Skov Nielsen, Henrik Aalborg Nielsen, Niels Kjølstad Poulsen, and Henrik Madsen.: Temperature prediction at critical points in district heating systems.
European Journal of Operational Research, 194 (1): 163-176, 2009c.
ISSN 0377-2217.
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Pierre Pinson, George Papaefthymiou, Bernd Klockl, Henrik Aalborg Nielsen, and Henrik Madsen.: From probabilistic forecasts to statistical scenarios of short-term wind power production.
Wind Energy, 12 (1): 51-62, 2009d.
ISSN 1095-4244.
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P. Sadegh, H. Madsen, and J. Holst.: Input design for linear dynamic systems using maxmin criteria.
Journal Information and Optimization Sciences, 19: 223-240, 1998.
K. Sejling, H. Madsen, and J. Holst.: Adaptive k-step predictions of heat consumption in a district heating system.
In Proceedings of the Eighth International Symposium on Forecasting, Amsterdam, 1998.
H. T. Søgaard and H. Madsen.: On-line estimation of time-varying delays in district heating systems.
In Proceedings of 1991 European Simulation Conference, pages 619-624, 1991.
P. Sørensen, N. A. Cutululis, A. Vigueras-Rodriguez, H. Madsen, P. Pinson, L. E. Jensen, J. Hjerrild, and M. Donovan.: Modelling of power fluctuations from large offshore wind farms.
Wind Energy, 11: 29–43, 2008.
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Poul Sørensen, Anca D. Hansen, Kenneth Thomsen, Henrik Madsen, Henrik Aalborg Nielsen, Niels Kjølstad Poulsen, Florin Iov, Frede Blaabjerg, and Bernd Okkels.: Simulation and optimization of wind farm controller.
In European Wind Energy Conference and Exhibition, London. I, 2004.
URL http://www.imm.dtu.dk/pubdb/p.php?3390.
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Poul Sørensen, Anca D. Hansen, Kenneth Thomsen, Henrik Madsen, Henrik Aalborg Nielsen, Niels Kjølstad Poulsen, Florin Lov, Frede Bkaabjerg, and Martin H. Donovan.: Wind farm controllers with grid support.
In Large Scale Wind Power workshop, Glasgow, 2005.
URL http://www2.imm.dtu.dk/pubdb/p.php?3643.
Julija Tastu, Pierre Pinson, Ewelina Kotwa, Henrik Madsen, and Henrik Aalborg Nielsen.: Spatio-temporal analysis and modeling of short-term wind power forecast errors.
Wind Energy, 14 (1): 43-60, 2011.
ISSN 1095-4244.
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Sven C. Thomsen and Henrik Aa. Nielsen.: Stochastic control principles, August 18 2011.
FlexPower Workshop, DTU-Risø (pdf) .
Fannar Ørn Thordarson, Henrik Madsen, and Henrik Aalborg Nielsen.: Optimal combined wind power forecasts using exogenous variables : Pso2004/fu5766 improved wind power prediction.
Technical report, Informatics and Mathematical Modelling, Technical University of Denmark, DTU, Lyngby, 2007.
URL http://www2.imm.dtu.dk/pubdb/views/publication_details.php?id=5539.
(pdf) .
Fannar Ørn Thordarson, Henrik Madsen, Henrik Aalborg Nielsen, and Pierre Pinson.: Conditional weighted combination of wind power forecasts.
Wind Energy, 13 (8): 751-763, 2010.
ISSN 1095-4244.
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Julia Vlasova, Ewelina Kotwa, Henrik Aalborg Nielsen, and Henrik Madsen.: Spatio-temporal modelling of shor-term wind power prediction errors : 02004/FU5766 - improved wind power prediction.
Technical report, Informatics and Mathematical Modelling, Technical University of Denmark, DTU, 2007.
URL http://www2.imm.dtu.dk/pubdb/views/publication_details.php?id=5552.
(pdf) .
Julija Vlasova, Ewelina Kotwa, Henrik Aalborg Nielsen, Henrik Madsen, and Pierre Pinson.: Spatio-temporal modeling of wind power prediction errors.
In Proceedings of the European Wind Energy Conference 2008, 2008.
Presented at: European Wind Energy Conference 2008, 2008 .