Comparing different solutions for forecasting the energy production of a wind farm
Author:
Publisher
Springer Science and Business Media LLC
Subject
Artificial Intelligence,Software
Link
http://link.springer.com/content/pdf/10.1007/s00521-018-3628-5.pdf
Reference33 articles.
1. Sánchez I (2006) Short-term prediction of wind energy production. Int J Forecast 22(1):43–56
2. Barbounis TG, Theocharis JB, Alexiadis MC, Dokopoulos PS (2006) Long-term wind speed and power forecasting using local recurrent neural network models. IEEE Trans Energy Convers 21(1):273–284
3. Li S, Wunsch DC, O’Hair E, Giesselmann MG (2001) Comparative analysis of regression and artificial neural network models for wind turbine power curve estimation. J Solar Energy Eng Trans ASME 123(4):327–332
4. Torres JL, García A, De Blas M, De Francisco A (2005) Forecast of hourly average wind speed with ARMA models in Navarre (Spain). Sol Energy 79(1):65–77
5. Damousis IG, Alexiadis MC, Theocharis JB, Dokopoulos PS (2004) A fuzzy model for wind speed prediction and power generation in wind parks using spatial correlation. IEEE Trans Energy Convers 19(2):352–361
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