[HTML][HTML] Gas turbine engine transient performance and heat transfer effect modelling: A comprehensive review, research challenges, and exploring the future

Y Yang, T Nikolaidis, S Jafari, P Pilidis - Applied Thermal Engineering, 2024 - Elsevier
Gas turbine transient simulation is an important tool in analysing engine performance during
changes in operating conditions. This paper provides a comprehensive review of the …

Prediction of full load electrical power output of a base load operated combined cycle power plant using machine learning methods

P Tüfekci - International Journal of Electrical Power & Energy …, 2014 - Elsevier
Predicting full load electrical power output of a base load power plant is important in order to
maximize the profit from the available megawatt hours. This paper examines and compares …

Modeling, simulation and optimization of power plant energy sustainability for IoT enabled smart cities empowered with deep extreme learning machine

S Abbas, MA Khan, LE Falcon-Morales… - IEEE …, 2020 - ieeexplore.ieee.org
A smart city is a sustainable and effective metropolitan hub, that offers its residents high
excellence of life through appropriate resource management. Energy management is …

Power plant energy predictions based on thermal factors using ridge and support vector regressor algorithms

A Afzal, S Alshahrani, A Alrobaian, A Buradi, SA Khan - Energies, 2021 - mdpi.com
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) …

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

MA Saeed, ESM El-Kenawy, A Ibrahim… - Frontiers in Energy …, 2023 - frontiersin.org
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 …

[HTML][HTML] Forecasting the energy output from a combined cycle thermal power plant using deep learning models

CA Saleel - Case Studies in Thermal Engineering, 2021 - Elsevier
The energy output from a combined cycle power plant (CCPP) varying with the operating
thermal parameters like ambient pressure, vacuum, relative humidity, and relative …

A new practical feed-forward cascade analyze for close loop identification of combustion control loop system through RANFIS and NARX

E Aghadavoodi, G Shahgholian - Applied Thermal Engineering, 2018 - Elsevier
Boiler-turbine is a multi-variable and complex system in steam power plants including
combustion control loop, temperature control loop and drum water level control loop, where …

Predicting Power Generation from a Combined Cycle Power Plant Using Transformer Encoders with DNN

Q Yi, H Xiong, D Wang - Electronics, 2023 - mdpi.com
With the development of the Smart Grid, accurate prediction of power generation is
becoming an increasingly crucial task. The primary goal of this research is to create an …

[图书][B] Gas turbines modeling, simulation, and control: using artificial neural networks

H Asgari, XQ Chen - 2015 - books.google.com
Gas Turbines Modeling, Simulation, and Control: Using Artificial Neural Networks provides
new approaches and novel solutions to the modeling, simulation, and control of gas turbines …

[PDF][PDF] Modelling, Simulation and control of gas turbines using artificial neural networks

H Asgari - 2014 - ir.canterbury.ac.nz
This thesis investigates novel methodologies for modelling, simulation and control of gas
turbines using ANNs. In the field of modelling and simulation, two different types of gas …