Design a wind speed prediction model using probabilistic fuzzy system

Research output: Journal Publications and Reviews (RGC: 21, 22, 62)21_Publication in refereed journalpeer-review

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Original languageEnglish
Article number6221996
Pages (from-to)819-827
Journal / PublicationIEEE Transactions on Industrial Informatics
Issue number4
Publication statusPublished - 2012


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