Machine Learning Approaches for Estimating the Efficiency of Combined Cycle Power Plant-Reference-Cited by-同舟云学术

Machine Learning Approaches for Estimating the Efficiency of Combined Cycle Power Plant

Published:2022-03-09 Issue: Volume: Page:
ISSN:
Container-title:2022 International Electrical Engineering Congress (iEECON)
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Author:

Kaewprapha Phisan¹,Prempaneerach Pradya²,Singh Vishakha¹,Tinikul Trilot³,Intarangsi Nutty³

Affiliation:

1. Thammasat University,Department of Electrical and Computer Engineering,Thailand

2. Thammasat University,Department of Mechanical Engineering,Thailand

3. The Electricity Generating Authority of Thailand (North Bangkok Power Plant),Thailand

Funder

Electricity Generating Authority of Thailand

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9741561/9741562/09741611.pdf?arnumber=9741611

Reference8 articles.

1. Predicting combined-cycle natural gas power plant emissions by using artificial neural networks

2. Combined cycle power plant: GE Gas Power;gepower-v2,0

3. Nonlinear identification of a gas turbine system in transient operation mode using neural network;rahnama;The 4th Conference on Thermal Power Plants CTPP,2012

4. An Artificial Neural Network Based Predictive Approach for Analyzing Environmental Impact on Combined Cycle Power Plant Generation

5. Mean squared error: Definition and example;glen;Statistics How To,2021

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1. Modelling and Output Power Estimation of a Combined Gas Plant and a Combined Cycle Plant Using an Artificial Neural Network Approach;Journal of Engineering;2024-05-06

2. Variable Selections in Machine Learning Based Efficiency Estimation of the Combined Cycle Power Plant;2023 13th International Conference on Power, Energy and Electrical Engineering (CPEEE);2023-02-25