Wind farm power prediction based on wavelet decomposition and chaotic time series
- 30 September 2011
- journal article
- Published by Elsevier BV in Expert Systems with Applications
- Vol. 38 (9), 11280-11285
- https://doi.org/10.1016/j.eswa.2011.02.176
Abstract
No abstract availableKeywords
This publication has 17 references indexed in Scilit:
- Grey system theory-based models in time series predictionExpert Systems with Applications, 2010
- Short-Term Prediction of Wind Farm Power: A Data Mining ApproachIEEE Transactions on Energy Conversion, 2009
- A wavelet-based energetic approach for the analysis of biomedical signals: Application to the electroencephalogram and electro-oculogramApplied Mathematics and Computation, 2009
- Improvements in wind speed forecasts for wind power prediction purposes using Kalman filteringJournal of Wind Engineering and Industrial Aerodynamics, 2008
- Analysis of wind power generation and prediction using ANN: A case studyRenewable Energy, 2008
- Grey prediction with rolling mechanism for electricity demand forecasting of TurkeyEnergy, 2007
- A Fuzzy Model for Wind Speed Prediction and Power Generation in Wind Parks Using Spatial CorrelationIEEE Transactions on Energy Conversion, 2004
- Short-term prediction of the power production from wind farmsJournal of Wind Engineering and Industrial Aerodynamics, 1999
- Practical method for determining the minimum embedding dimension of a scalar time seriesPhysica D: Nonlinear Phenomena, 1997
- Independent coordinates for strange attractors from mutual informationPhysical Review A, 1986