Markovian power curves for wind turbines

[1]  Joachim Peinke,et al.  Phenomenological Response Theory to Predict Power Output , 2007 .

[2]  Joachim Peinke,et al.  Characterisation of the Power Curve for Wind Turbines by Stochastic Modelling , 2007 .

[3]  Joachim Peinke,et al.  Handling Systems Driven by Different Noise Sources: Implications for Power Curve Estimations , 2007 .

[4]  K. Kaiser,et al.  Turbulence Correction for Power Curves , 2007 .

[5]  Joachim Peinke,et al.  The Markov Einstein coherence length—a new meaning for the Taylor length in turbulence , 2006 .

[6]  J. Peinke,et al.  Reconstruction of complex dynamical systems affected by strong measurement noise. , 2006, Physical review letters.

[7]  A. Daffertshofer,et al.  Estimating Kramers–Moyal coefficients in short and non-stationary data sets , 2006 .

[8]  J. Peinke,et al.  An Iterative Procedure for the Estimation of Drift and Diffusion Coefficients of Langevin Processes , 2005, physics/0502152.

[9]  Joachim Peinke,et al.  Anomalous statistics in turbulence, financial markets and other complex systems , 2004 .

[10]  J. Peinke,et al.  Reconstruction of the Deterministic Dynamics of Stochastic Systems , 2004, Int. J. Bifurc. Chaos.

[11]  J. Peinke,et al.  Stochastic analysis of different rough surfaces , 2004, physics/0404015.

[12]  Tom Kuusela,et al.  Stochastic heart-rate model can reveal pathologic cardiac dynamics. , 2004, Physical review. E, Statistical, nonlinear, and soft matter physics.

[13]  Joachim Peinke,et al.  A phenomenological model for the dynamic response of wind turbines to turbulent wind , 2004 .

[14]  Dewi Wilhelmshaven,et al.  Turbulence Correction of Power Curves , 2004 .

[15]  J. Peinke,et al.  On a quantitative method to analyze dynamical and measurement noise , 2003 .

[16]  Zbigniew Lubosny,et al.  Wind Turbine Operation in Electric Power Systems , 2003 .

[17]  J. Peinke,et al.  Comment on "Indispensable finite time corrections for Fokker-Planck equations from time series data". , 2002, Physical review letters.

[18]  J. Peinke,et al.  Reconstruction of dynamical equations for traffic flow , 2001, physics/0110084.

[19]  Troels Friis Pedersen,et al.  Wind turbine power performance verification in complex terrain and wind farms , 2002 .

[20]  H Kantz,et al.  Indispensable finite time corrections for Fokker-Planck equations from time series data. , 2001, Physical review letters.

[21]  Ervin Bossanyi,et al.  Wind Energy Handbook , 2001 .

[22]  Shuhui Li,et al.  Comparative Analysis of Regression and Artificial Neural Network Models for Wind Turbine Power Curve Estimation , 2001 .

[23]  Joachim Peinke,et al.  Experimental indications for Markov properties of small-scale turbulence , 2001, Journal of Fluid Mechanics.

[24]  Ervin Bossanyi,et al.  Handbook of wind energy , 2001 .

[25]  Troels Friis Pedersen,et al.  European wind turbine testing procedure developments. Task 1: Measurement method to verify wind turbine performance characteristics , 2001 .

[26]  Jan Raethjen,et al.  Extracting model equations from experimental data , 2000 .

[27]  A. Derrick,et al.  Redefinition power curve for more accurate performance assessment of wind farms , 2000 .

[28]  J. Peinke,et al.  How to quantify deterministic and random influences on the statistics of the foreign exchange market , 1999, Physical review letters.

[29]  J. Peinke,et al.  Analysis of data sets of stochastic systems , 1998, cond-mat/9803250.

[30]  J. Peinke,et al.  A note on three-point statistics of velocity increments in turbulence , 1998 .

[31]  George Stavrakakis,et al.  Wind power forecasting using advanced neural networks models , 1996 .

[32]  H. Risken Fokker-Planck Equation , 1984 .

[33]  C. Gardiner Handbook of Stochastic Methods , 1983 .

[34]  Robert E. Akins Performance evaluation of wind turbines , 1980 .