Preprint Review Version 1 Preserved in Portico This version is not peer-reviewed

Trends on Wind Speed Forecasting: Umbrella Review of the Last 5 Years

Version 1 : Received: 17 August 2023 / Approved: 18 August 2023 / Online: 23 August 2023 (07:27:24 CEST)

How to cite: Costa Rocha, P.A.; De Andrade, C.F.; Bueno, A.V.; Lobo, F.L.; Moura de Oliveira, M.L.; Van Griensven Thé, J.; Gharabaghi, B. Trends on Wind Speed Forecasting: Umbrella Review of the Last 5 Years. Preprints 2023, 2023081578. https://doi.org/10.20944/preprints202308.1578.v1 Costa Rocha, P.A.; De Andrade, C.F.; Bueno, A.V.; Lobo, F.L.; Moura de Oliveira, M.L.; Van Griensven Thé, J.; Gharabaghi, B. Trends on Wind Speed Forecasting: Umbrella Review of the Last 5 Years. Preprints 2023, 2023081578. https://doi.org/10.20944/preprints202308.1578.v1

Abstract

The most important step for the installation of a wind farm is to know the wind regime in the region, since an error in estimating this wind speed causes an error proportional to the cube of power, resulting in financial losses for investors. Therefore, knowing the methods used for predicting wind speed becomes important and the knowledge of how research and studies in this area are going helps map the subject and outline strategies for developing research in strategic areas. For this purpose, the Scopus database was used considering some keywords, such as ("forecast" OR "prevision") AND "wind" AND ("turbine" OR "power" OR "energy" or "velocity" or "speed"), considering the period since 2019, and analyzing the data of the documents found using the Bibliometrix package. With the results found, it was possible to map researchers, institutions that are developing work in this area, in addition to the most cited articles, among other aspects analyzed.

Keywords

forecasting; prevision; wind speed; wind power; renewable energy; Scopus base; Bibliometrix

Subject

Engineering, Mechanical Engineering

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