Predicting Thermoelectric Power Plants Diesel/Heavy Fuel Oil Engine Fuel Consumption Using Univariate Forecasting and XGBoost Machine Learning Models
Monitoring and controlling thermoelectric power plants (TPPs) operational parameters have become essential to ensure system reliability, especially in emergencies. Due to system complexity, operating parameters control is often performed based on technical know-how and simplified analytical models t...
Main Authors: | Elias Amancio Siqueira-Filho, Maira Farias Andrade Lira, Attilio Converti, Hugo Valadares Siqueira, Carmelo J. A. Bastos-Filho |
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Format: | Article |
Language: | English |
Published: |
MDPI AG
2023-03-01
|
Series: | Energies |
Subjects: | |
Online Access: | https://www.mdpi.com/1996-1073/16/7/2942 |
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