Power curve characterization I: Improving the bin method

Renewable Energy and Power Quality Journal

Volumn 1, Issue 3, 2005, Pages 367-371

  Llombart, A ^a   Watson, S J ^b   Llombart, D ^a   Fandos, J M ^c  

^a UNIVERSITY OF ZARAGOZA   (Spain)

^b LOUGHBOROUGH UNIVERSITY   (United Kingdom)

^c NONE

Author keywords

Bin method; Power curve; Power performance; Wind energy

Indexed keywords

EID: 85050988559     PISSN: None     EISSN: 2172038X     Source Type: Journal    
DOI: 10.24084/repqj03.304     Document Type: Article

References (4)

1. S. Li, D. C. Wunsch, E. A. O'Hair and M. G. Giesselmann, “Wind turbine power estimation by neural networks with kalman filter training on a SIMD parallel machine”, International Joint Conference on Neural Networks, Vol. 5, pp 3430 – 3434, July 1999
2. S. Li, D. C. Wunsch, E. A. O'Hair and M. G. Giesselmann, “Using Neural Networks to Estimate Wind Turbine Power Generation”, IEEE trans. On Energy Conversion, Vol. 16, Nº 3, pp 276-282, September 2001
3. A. Llombart, F. J. Val, M. Sanz, G. Costales, I. Gomez, “Time-continuous control system for supervision of the electrical power production of wind turbines”; European Wind Energy Conference, May 2003
4. S. Kélouwani, K. Agbossou, “Nonlinear Model Identification of Wind Turbine with a Neural Network”, IEEE trans. On Energy Conversion, Vol. 19, Nº 3, pp 607-612, September 2004