Design a wind speed prediction model using probabilistic fuzzy system
Research output: Journal Publications and Reviews (RGC: 21, 22, 62) › 21_Publication in refereed journal › peer-review
Author(s)
Detail(s)
Original language | English |
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Article number | 6221996 |
Pages (from-to) | 819-827 |
Journal / Publication | IEEE Transactions on Industrial Informatics |
Volume | 8 |
Issue number | 4 |
Publication status | Published - 2012 |
Link(s)
Abstract
Generation of wind is a very complicated process and influenced by large numbers of unknown factors. A probabilistic fuzzy system based prediction model is designed for the short-term wind speed prediction. By introducing the third probability dimension, the proposed prediction model can capture both stochastic and the deterministic uncertainties, and guarantee a better prediction in complex stochastic environment. The effectiveness of this intelligent wind speed prediction model is demonstrated by the simulations on a group of wind speed data. The robust modeling performance further discloses its potential in the practical prediction of wind speed under complex circumstance. © 2012 IEEE.
Research Area(s)
- Probabilistic fuzzy inference, probabilistic fuzzy logic system, probabilistic fuzzy set, probabilistic modeling, wind speed prediction
Citation Format(s)
Design a wind speed prediction model using probabilistic fuzzy system. / Zhang, Geng; Li, Han-Xiong; Gan, Min.
In: IEEE Transactions on Industrial Informatics, Vol. 8, No. 4, 6221996, 2012, p. 819-827.Research output: Journal Publications and Reviews (RGC: 21, 22, 62) › 21_Publication in refereed journal › peer-review