Power Plant Energy Predictions Based on Thermal Factors Using Ridge and Support Vector Regressor Algorithms

This work aims to model the combined cycle power plant (CCPP) using different algorithms. The algorithms used are Ridge, Linear regressor (LR), and upport vector regressor (SVR). The CCPP energy output data collected as a factor of thermal input variables, mainly exhaust vacuum, ambient temperature,...

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Bibliografiset tiedot

Päätekijät:	Asif Afzal, Saad Alshahrani, Abdulrahman Alrobaian, Abdulrajak Buradi, Sher Afghan Khan
Aineistotyyppi:	Artigo
Kieli:	Inglês
Julkaistu:	MDPI AG 2021-11-01
Sarja:	Energies
Aiheet:	CCPP modeling ridge SVR linear regression R-squared
Linkit:	https://www.mdpi.com/1996-1073/14/21/7254
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