Wind power forecasting by an empirical model using NWP outputs

Pelikán, Emil - Eben, Kryštof - Resler, Jaroslav - Juruš, Pavel - Krč, Pavel - Brabec, Marek - Brabec, Tomáš - Musílek, P.
Wind power forecasting by an empirical model using NWP outputs.
Environment and Electrical Engineering. Piscataway: IEEE, 2010 - (Janik, P.; Lehmann, D.; Leonowicz, Z.; Schwarz, H.), s. 45-48. ISBN 978-1-4244-5370-2.
[EEEIC 2010. International Conference on Environment and Electrical Engineering /9./. Prague (CZ), 16.05.2010-19.05.2010]
http://hdl.handle.net/11104/0190353

Citováno: 9

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--- LI, X.G. - TATE, J.E. Estimating and Visualizing the Impact of Wind Forecast Errors on System Operations. 2011 IEEE POWER AND ENERGY SOCIETY GENERAL MEETING. ISSN 1944-9925, 2011. [WOS]
--- DOUCOURE, B. - AGBOSSOU, K. - CARDENAS, A. Time series prediction using artificial wavelet neural network and multi-resolution analysis: Application to wind speed data. RENEWABLE ENERGY. ISSN 0960-1481, JUL 2016, vol. 92, p. 202-211. [WOS]
--- TIAN, Z.D. - LI, S.J. - WANG, Y.H. - GAO, X.W. Chaotic characteristics analysis and prediction for short-term wind speed time series. ACTA PHYSICA SINICA. ISSN 1000-3290, FEB 5 2015, vol. 64, no. 3. [WOS]
--- KHODAMORADI, A. - KARGAR, H.K. - NATEGHI, A. Wind Speed Modelling Considering High-Frequency Damping Effect Based On Experimental Data. 2014 5TH POWER ELECTRONICS, DRIVE SYSTEMS AND TECHNOLOGIES CONFERENCE (PEDSTC). ISSN 2377-6773, 2014, p. 317-322. [WOS]
--- LUJANO-ROJAS, J.M. - OSORIO, G.J. - CATALAO, J.P.S. A Probabilistic Approach to Solve Economic Dispatch Problem in Systems with Intermittent Power Sources. 2014 IEEE PES T&D CONFERENCE AND EXPOSITION. 2014. [WOS]
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--- ZHANG, C. - ZENG, J. - XIE, N. - YANG, P. - ZHANG, Y.J. - ZHANG, Z. Research on Short-Term Wind Power Prediction Based on Combined Forecasting Models. 2016 3RD INTERNATIONAL CONFERENCE ON MANUFACTURING AND INDUSTRIAL TECHNOLOGIES. ISSN 2261-236X, 2016, vol. 70. [WOS]