Using radial basis neural networks to estimate wind power production

2007 IEEE Power Engineering Society General Meeting, PES

Volumn , Issue , 2007, Pages

  Sideratos, G ^b   Hatziargyriou, N ^a,b,c,d  

^a IEEE

^b NATIONAL TECHNICAL UNIVERSITY OF ATHENS NTUA   (Greece)

^c CIGRE SCC6 ^*

^d TECHNICAL CHAMBER OF GREECE   (Greece)

Author keywords

Fuzzy sets; Radial base function networks; Self organized map; Wind power forecasting

Indexed keywords

METEOROLOGICAL FORECASTS; SELF ORGANIZED MAP; WIND POWER FORECASTING; WIND SPEED;

FUZZY SETS; POWER GENERATION; STATISTICAL METHODS; WIND POWER; WEATHER FORECASTING;

RADIAL BASIS FUNCTION NETWORKS; NEURAL NETWORKS;

NUMERICAL WEATHER PREDICTIONS (NWP); WIND POWER FORECASTING;

EID: 42549104089     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/PES.2007.385812     Document Type: Conference Paper

References (10)

1. Global Wind Energy Outlook 2006
2. G. Bathurst, G. Strbac, "The Value of Intermittent Renewable Sources in the first Week of NETA", Tyndall Briefing Note No. 2, 3 April 2001.
3. N. Hatziargyriou, A. Tsikalakis, A. Dimeas, D. Georgiadis, A. Gigantidou, J. Stefanakis, E. Thalassinakis, "Security and Economic Impacts of High Wind Power Penetration in Island Systems", 2004 Cigre Session, Paris, August 2004.
4. Z. Gontar, G. Sideratos, N. Hatziargyriou, "Short-Term Load Forecasting Using Radial Basis Function Networks", Proc. of SETN'04 Conference.
5. G. Giebel, L. Landberg, G. Kariniotakis, R. Brownsword, "State-of-the-Art on Methods and Software Tools for Short-Term Prediction of Wind Energy Production", Proc. of EWEC 2003, Madrid, Spain.
6. G. Kariniotakis, et al., "What performance can be expected by short-term wind power prediction models depending on site characteristics", Proc. of the EWEC04, London, UK, 22-25 November 2004.
7. G. Sideratos, and N.D. Hatziargyriou, "An Advanced Statistical Method for Wind Power Forecasting", to be published in the IEEE Power System Trasactions.
8. G. Giebel, R. Brownsword, G. Kariniotakis, "The State of the Art in Short-Term Prediction of Wind Power: A Literature Overview", Deliverable D1.1 of ANEMOS project, available at: http://anemos.cma.fr
9. Madsen, H., Kariniotakis, G., Nielsen, H.Aa., Nielsen, T.S., Pinson, P.,"A Protocol for Standardising the Performance Evaluation of Short-Term Wind Power Prediction Models", CD-Rom Proceedings of the Global WindPower 2004 Conference, Chicago, Illinois, USA, March 28-31, 2004
10. "Towards Next Generation Sort-term Forecasting of Wind Power", Kariniotakis, G., & the Anemos Team CD-Rom Proceedings of the Global WindPower 2004 Conference, Chicago, Illinois, USA, March 28-31, 2004