Henrik Madsen

Prof. Dr. Henrik Madsen

Department of Applied Mathematics and Computer Science, Technical University of Denmark, DK-2800 Lyngby, Denmark
orcid

Research Focus & Metrics

Academic Career Length

37Years (1990-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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1 October 2009 in Solar Energy
Verified
Journal Article
Closed access
PBPeder Bacher
Peder Bacher
HMHenrik Madsen
Henrik Madsen
HNHenrik Aalborg Nielsen
Henrik Aalborg Nielsen

1 June 2006 in Progress in Aerospace Sciences
Verified
Journal Article
Closed access
Martin Otto Laver  HansenMartin Otto Laver Hansen
Martin Otto Laver Hansen
Jens Nørkær SørensenJens Nørkær Sørensen
Jens Nørkær Sørensen
SVS. Voutsinas
S. Voutsinas
NSN. Sørensen
N. Sørensen
HMH.AA. Madsen
H.AA. Madsen

1 July 2011 in Energy and Buildings
Verified
Journal Article
Closed access
PBPeder Bacher
Peder Bacher
HMHenrik Madsen
Henrik Madsen

1 November 2014 in Renewable and Sustainable Energy Reviews
Verified
Journal Article
Closed access
NONiamh O׳Connell
Niamh O׳Connell
PPPierre Pinson
Pierre Pinson
HMHenrik Madsen
Henrik Madsen
MOMark O׳Malley
Mark O׳Malley

1 August 2008 in Renewable and Sustainable Energy Reviews
Verified
Journal Article
Open access
ACAlexandre Costa
Alexandre Costa
ACAntonio Crespo
Antonio Crespo
JNJorge Navarro
Jorge Navarro
GLGil Lizcano
Gil Lizcano
HMHenrik Madsen
Henrik Madsen
EFEveraldo Feitosa
Everaldo Feitosa
This paper makes a brief review on 30 years of history of the wind power short-term prediction, since the first ideas and sketches on the theme to the actual state of the art on models and tools, giving emphasis to the most significant proposals and developments. The two principal lines of thought on short-term prediction (mathematical and physical) are indistinctly treated here and comparisons between models and tools are avoided, mainly because, on the one hand, a standard for a measure of performance is still not adopted and, on the other hand, it is very important that the data are exactly the same in order to compare two models (this fact makes it almost impossible to carry out a quantitative comparison between a huge number of models and methods). In place of a quantitative description, a qualitative approach is preferred for this review, remarking the contribution (and innovative aspect) of each model. On the basis of the review, some topics for future research are pointed out

22 September 2008 in Wind Energy
Verified
Journal Article
Closed access
PDF file
PPPierre Pinson
Pierre Pinson
HMHenrik Madsen
Henrik Madsen
HNHenrik Aa. Nielsen
Henrik Aa. Nielsen
GPGeorge Papaefthymiou
George Papaefthymiou
BKBernd Klöckl
Bernd Klöckl