DEVELOPMENT OF AN EFFECTIVE WIND POWER MODELLING TOOL FOR PREDICTING WIND TURBINE POWER PRODUCTION IN ONSHORE AND OFFSHORE WIND FARMS

The accurate prediction of wind turbine power production is critical for optimizing the performance and economic viability of both onshore and offshore wind farms. This study presents the development of an effective wind power modeling tool designed to enhance power output predictions by integrating...

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Principais autores:	Daniel H. Ngoma, Banet Masenga
格式:	Artigo
語言:	Inglês
出版:	Nigerian Defence Academy 2025-10-01
叢編:	Academy Journal of Science and Engineering
主題:	wind power prediction onshore wind farms offshore wind energy computational modeling machine learning turbine performance optimization
在線閱讀:	https://ajse.academyjsekad.edu.ng/index.php/new-ajse/article/view/792
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