This panel paper summarizes the current trends in wind power development and describes a proposed approach for short term wind power forecasting using a hybrid intelligent system.

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Short term wind power forecasting using hybrid intelligent systems | Synapse

Cite This Study

Negnevitsky et al. (Fri,) studied this question.

synapsesocial.com/papers/6a1e1510331f16ef469fd2ae https://doi.org/https://doi.org/10.1109/pes.2007.385453

Also Consider

Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context:

1Innovative short-term wind generation prediction techniques2006 · 41 citations
2Using neural networks to estimate wind turbine power generation2002 · 82 citations
3Trading wind generation in short term energy markets2002 · 322 citations
4Using neural networks to estimate wind turbine power generation2001 · 304 citations
5Nonlinear Model Identification of Wind Turbine With a Neural Network2004 · 96 citations

Also Consider

Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context:

1Innovative short-term wind generation prediction techniques2006 · 41 citations
2Using neural networks to estimate wind turbine power generation2002 · 82 citations
3Trading wind generation in short term energy markets2002 · 322 citations
4Using neural networks to estimate wind turbine power generation2001 · 304 citations
5Nonlinear Model Identification of Wind Turbine With a Neural Network2004 · 96 citations