A Machine Learning Models for Predicting Power Output in Gas Turbines: A Case Study from Perdawood Power Station, Erbil, Iraqi Kurdistan

Gas Turbines (GT) are essential generation units in both centralized and distributed power systems. In many regions worldwide, GTs are the primary source of electrical energy due to their affordability, efficiency, and flexibility. GT can quickly reach peak output, making them ideal as auxiliary un...

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Үндсэн зохиолчид:	Asaad Saber Hamad Ameen, Ibrahim Ismail Hamarash
Формат:	Artigo
Хэл сонгох:	Inglês
Хэвлэсэн:	Salahaddin University-Erbil 2025-10-01
Цуврал:	Zanco Journal of Pure and Applied Sciences
Нөхцлүүд:	Gas Turbine (GT), Machine Learning (ML), Support Vector Regression (SVR), Power Generation Forecasting, Dataset.
Онлайн хандалт:	https://zancojournal.su.edu.krd/index.php/JPAS/article/view/3366
Шошгууд:	Шошго нэмэх Шошго байхгүй, Энэхүү баримтыг шошголох эхний хүн болох!