A survey of computational models for wind speed forecasting from 2004 to 2016
DOI:
https://doi.org/10.36825/RITI.08.15.004Keywords:
Computational Models, Forecasting Models, Wind Speed, Literature ReviewAbstract
Wind speed forecast is a topic broadly researched in the present day. Its importance in the design and calculations of structures for considerably sized buildings to be built in high risk hurricane zones is a key factor to consider. Another branch off this line of research includes its utility in Eolic energy prediction, which is not a subject to discuss in this article. Here a classification of computational models for wind speed forecasting is presented according to the mathematic technique used for forecasting and based on literature review. The techniques used to classify are: multivariate lineal regression, artificial neural networks, time series, fuzzy logic, and the Gaussian process. Throughout the development of this research, artificial neural networks and fuzzy logic applications were identified as future lines of research both combined with efficient data mining work.
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