File(s) under permanent embargo
Wind speed forecast model for wind farm based on a hybrid machine learning algorithm
journal contribution
posted on 2023-05-17, 21:36 authored by Haque, AU, Mandal, P, Meng, J, Michael NegnevitskyMichael NegnevitskyThis paper presents a newstrategy for wind speed forecasting based on a hybrid machine learning algorithm, composed of a data filtering technique based on wavelet transform (WT) and a soft computing model based on the fuzzy ARTMAP (FA) network. The prediction capability of the proposed hybrid WT + FA model is demonstrated by an extensive comparison with some other existing wind speed forecasting methods. The results show a significant improvement in forecasting error through the application of a proposed hybrid WT + FA model. The proposed wind speed forecasting strategy is applied to real data acquired from the North Cape wind farm located in PEI, Canada.
History
Publication title
International Journal of Sustainable EnergyVolume
34Pagination
35-51ISSN
1478-6451Department/School
School of EngineeringPublisher
Taylor & FrancisPlace of publication
Abingdon, Oxfordshire UKRights statement
Copyright 2013 Taylor and FrancisRepository Status
- Restricted