Wind Turbine Output Power Prediction in a Probabilistic Framework Based on Fuzzy Intervals

Author:

Etemadi Mostafa,Abdollahi AmirORCID,Rashidinejad Masoud,Aalami Habib Allah

Publisher

Springer Science and Business Media LLC

Subject

Electrical and Electronic Engineering,Computer Networks and Communications,Computer Vision and Pattern Recognition,Energy Engineering and Power Technology,Signal Processing

Reference25 articles.

1. Amorim A, Cardoso AL, Oyarzabal J, Melo N (2005) Analysis of the connection of a microturbine to a low voltage grid. In 2005 international conference on future power systems, IEEE, Amsterdam, Netherlands, pp 5

2. Bishop CM (1995) Neural networks for pattern recognition. Oxford University Press, Oxford

3. Bokde N, Feijóo A, Kulat K (2018) Analysis of differencing and decomposition preprocessing methods for wind speed prediction. Appl Soft Comput 71:926–938

4. Colak I, Sagiroglu S, Yesilbudak M (2012) Data mining and wind power prediction: a literature review. Renew Energy 46:241–247

5. Cutler N, Outhred H, MacGill I (2011) Final report on unsw project for aemo to develop a prototype wind power forecasting tool for potential large rapid changes in wind power. In: The centre for energy and environmental markets. UNSW, Reports and Working Papers. http://www.ceem.unsw.edu.au/publications?page=14

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