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Advisor(s)
Abstract(s)
Wind speed forecasting has been becoming an
important field of research to support the electricity industry
mainly due to the increasing use of distributed energy sources,
largely based on renewable sources. This type of electricity
generation is highly dependent on the weather conditions
variability, particularly the variability of the wind speed.
Therefore, accurate wind power forecasting models are required
to the operation and planning of wind plants and power systems.
A Support Vector Machines (SVM) model for short-term wind
speed is proposed and its performance is evaluated and
compared with several artificial neural network (ANN) based
approaches. A case study based on a real database regarding 3
years for predicting wind speed at 5 minutes intervals is
presented.
Description
Keywords
Artificial neural networks Short-term forecasting Support vector machines Wind speed forecasting
Citation
Publisher
IEEE