Prediction of Hourly Generated Electric Power Using Artificial Neural Network for Combined Cycle Power Plant-Reference-Cited by-同舟云学术

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Prediction of Hourly Generated Electric Power Using Artificial Neural Network for Combined Cycle Power Plant

Published:2016 Issue:2 Volume:4 Page:91-95
ISSN:2301-3656
Container-title:International Journal of Electrical Energy
language:
Short-container-title:IJOEE

Author:

Akdemir Bayram,

Publisher

EJournal Publishing

Link

http://www.ijoee.org/uploadfile/2016/0721/20160721054943930.pdf

Cited by 12 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Exploring explainable ensemble machine learning methods for long-term performance prediction of industrial gas turbines: A comparative analysis;Engineering Applications of Artificial Intelligence;2024-12

2. On the application of symbolic regression in the energy sector: Estimation of combined cycle power plant electrical power output using genetic programming algorithm;Engineering Applications of Artificial Intelligence;2024-07

3. 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

4. Modelling and Energy Optimization of a Thermal Power Plant Using a Multi-Layer Perception Regression Method;WSEAS TRANSACTIONS ON SYSTEMS AND CONTROL;2023-09-07

5. Sustainable operations of a combined cycle power plant using artificial intelligence based power prediction;Heliyon;2023-09

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