Electrical power output prediction of combined cycle power plants using a recurrent neural network optimized by waterwheel plant algorithm

Electrical power output prediction of combined cycle power plants using a recurrent neural network optimized by waterwheel plant algorithm

It is difficult to analyze and anticipate the power output of Combined Cycle Power Plants (CCPPs) when considering operational thermal variables such as ambient pressure, vacuum, relative humidity, and temperature. Our data visualization study shows strong non-linearity in the experimental data. We...

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Bibliographic Details
Main Authors: Mohammed A. Saeed, El-Sayed M. El-Kenawy, Abdelhameed Ibrahim, Abdelaziz A. Abdelhamid, Marwa M. Eid, Faten Khalid Karim, Doaa Sami Khafaga, Laith Abualigah
Format: Article
Language:English
Published: Frontiers Media S.A. 2023-09-01
Series:Frontiers in Energy Research
Subjects:
power plant
combined cycle
machine learning
energy output
neural networks
waterwheel plant algorithm
Online Access:https://www.frontiersin.org/articles/10.3389/fenrg.2023.1234624/full

Internet

https://www.frontiersin.org/articles/10.3389/fenrg.2023.1234624/full

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