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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Egile Nagusiak:	Daniel H. Ngoma, Banet Masenga
Formatua:	Artigo
Hizkuntza:	Inglês
Argitaratua:	Nigerian Defence Academy 2025-10-01
Saila:	Academy Journal of Science and Engineering
Gaiak:	wind power prediction onshore wind farms offshore wind energy computational modeling machine learning turbine performance optimization
Sarrera elektronikoa:	https://ajse.academyjsekad.edu.ng/index.php/new-ajse/article/view/792
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