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Last update: 2004.06.02

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ARMINES has carried out research considerable research in the area of short-term wind power prediction during the last 12 years. A number of papers has been published in Journals and Conferences presenting the methods developped and also results from various applications.
     
[1] Pinson, P., Kariniotakis, G., "On-line Assessment of Prediction Risk for Wind Power Production Forecasts", Accepted for publication in the Wind Energy Journal, to appear in 2004.
[2] Kariniotakis, G. N., "An Advanced On-Line Wind Resource Prediction System for the Optimal Management of Wind Parks", Submitted for publication at IEEE Transactions on Energy Conversion, May 2004.
[3] A.G. Dutton, G. Kariniotakis, J.A. Halliday, E. Nogaret, “Load and Wind Power Forecasting Methods for the Optimal Management of Isolated Power Systems with High Wind Penetration”, Wind Engineering, Vol. 23, No 2, 2000.
[4] Kariniotakis G., Stavrakakis G.S. Nogaret E.F., “Wind power forecasting using advanced neural network models”, IEEE Transactions on Energy Conversion, Vol. 11, No. 4, December 1996, pp. 762-767. (96 SM 552-0 EC), Presented at the 1996 IEEE/PES Summer Meeting, July 28-Aug. 1, 1996, Denver, Colorado.
[5] Kariniotakis, G., Pinson, P., "Uncertainty of Short-term Wind Power Forecasts - A Methodology for On-line Assessment", accepted for Publication at the 8th International Conference on Probability Methods Applied to Power Systems, Iowa State University, Ames, Iowa, USA, September 12-16, 2004,
[6] Kariniotakis, G., "Towards Next Generation Short-term Forecasting of Wind Power - The ANEMOS Project", CD-Rom Proceedings of the Global WindPower 2004 Conference, Chicago, USA, 28-31 March, 2004.
[7] Pinson, P., Kariniotakis, G., Ranchin T., Mayer, D., "Short-term Wind Power Prediction for Offshore Wind Farms - Evaluation of Fuzzy-Neural Network Based Models", CD-Rom Proceedings of the Global WindPower 2004 Conference, Chicago, USA, 28-31 March, 2004.
[8] Pinson, P., Kariniotakis, G., "On-line Adaptation of Confidence Intervals based on Weather Stability for Wind Power Forecasting", CD-Rom Proceedings of the Global WindPower 2004 Conference, Chicago, USA, 28-31 March, 2004.
[9] Madsen, H., Kariniotakis G., Nielsen, Aa.H, Nielsen, T.S., Pinson, P., "A Protocol for Standardizing the Performance Evaluation of Short-Term Wind Power Prediction Models", CD-Rom Proceedings of the Global WindPower 2004 Conference, Chicago, USA, 28-31 March, 2004.
[10] Balea, L., Siebert, N., Peirano, E. Kariniotakis, G., "Quantification of Capacity Credit and Reserve Demand from the Large-Scale Integration of Wind Energy in the French Power System", CD-Rom Proceedings of the Global WindPower 2004 Conference, Chicago, USA, 28-31 March, 2004.
[11] Pinson, P., Kariniotakis, G., "Uncertainty and Prediction Risk Assessment of Short-term Wind Power Forecasts", Accepted for publication at the Conference The Science of making Torque from Wind, European Wind Energy Academy, Delft, 19-21 April 2004.
[12] Giebel, G., Landberg, L., Kariniotakis, G., Brownsword, R., "State-of-the-Art on Methods and Software Tools for Short-Term Prediction of Wind Energy Production", CD-Rom Proceedings of the European Wind Energy Conference & Exhibition EWEC 2003, Madrid, Spain, June 16-19, 2003.
[13] Pinson, P., Siebert, N., Kariniotakis, G., "Forecasting of Regional Wind Generation by a Dynamic Fuzzy-Neural Networks Based Upscaling Approach.", CD-Rom Proceedings of the European Wind Energy Conference & Exhibition EWEC 2003, Madrid, Spain, June 16-19, 2003.
[14] Pinson, P., Kariniotakis, G., "On-line Assessment of Prediction Risk for Wind Power Production Forecasts", CD-Rom Proceedings of the European Wind Energy Conference & Exhibition EWEC 2003, Madrid, Spain, June 16-19, 2003.
[15] Kariniotakis, G., Pinson, P., “Evaluation of the More-Care Wind Power Prediction Platform. Performance of the Fuzzy Logic Based Models”, Paper to be presented at the 2003 European Wind Energy Conference and Exhibition, Madrid, Spain, 16-19 June 2003.
[16] Pinson, P., Kariniotakis, G., “Wind Power Forecasting using Fuzzy Neural Networks Enhanced with On-line Prediction Risk Assessment", CD-Rom Proceedings of the IEEE Bologna Power Tech Conference 2003, Bologna, Italy, 23-26 June 2003.
[17] Kariniotakis G., Mayer D. “An Advanced On-Line Wind Resource Prediction System for the Optimal Management of Wind Parks.”, CD Proceedings of the IEEE/IEE MedPower2002 Conference, Athens, Greece, 4-6 November 2002.
[18] Kariniotakis G., et al “Load, Wind and Hydro Power Forecasting Functions of the More-Care EMS System”, CD Proceedings of the IEEE/IEE MedPower2002 Conference, Athens, Greece, 4-6 November 2002.
[19] Costello, R., Kariniotakis G., et al “Potential Benefits of Wind Forecasting and the Application of More Care in Ireland”, CD Proceedings of the IEEE/IEE MedPower2002 Conference, Athens, Greece, 4-6 November 2002.
[20] Kariniotakis G., M. Matos, V. Miranda, "Assessment of the benefits from advanced load & wind power forecasting in autonomous power systems", Proceedings of the 1999 European Wind Energy Conference EWEC'99, Nice, France, 1-5 March, 1999.
[21] Kariniotakis G., Nogaret E., Dutton A., Halliday J. Androutsos A., "Evaluation of advanced wind power and load forecasting methods for the optimal management of isolated power systems.” Proceedings of the 1999 European Wind Energy Conference EWEC'99, Nice, France, 1-5 March, 1999.
[22] Kariniotakis G. Nogaret E., Stavrakakis G., "Advanced short-term forecasting of wind power production", Procd. of the 1997 European Wind Energy Conference EWEC'97, Dublin, Ireland, 1997, pp. 751-754.
[23] Kariniotakis G., Nogaret E., Stavrakakis G., “A fuzzy logic and a neural network based wind power forecasting model”, Procd. of the 1996 European Union Wind Energy Conference, EUWEC'96, Göteborg, Sweden, 20-24 May, 1996, pp. 596-599.

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2004.06.01