Hierarchical Method Based on Artificial Neural Networks for Power Output Prediction of a Combined Cycle Power Plant

Publisher： IGI Global_journal

E-ISSN： 2166-725x|4|4|20-32

ISSN： 2166-7241

Source： International Journal of Monitoring and Surveillance Technologies Research (IJMSTR), Vol.4, Iss.4, 2016-10, pp. : 20-32

Disclaimer: Any content in publications that violate the sovereignty, the constitution or regulations of the PRC is not accepted or approved by CNPIEC.

Previous Menu Next

Abstract

Related content

Prediction of power output of a coal-fired power plant by artificial neural network

By Smrekar J.   Pandit D.   Fast M.   Assadi M.   De Sudipta  

Neural Computing & Applications, Vol. 19, Iss. 5, 2010-07 ,pp. : 725-740

Springer Publishing Company

Access to resources Recommend Favorite

System modeling and analysis of a combined cycle power plant

By Dev Nikhil     Kachhwaha S.  

International Journal of Systems Assurance Engineering and Management, Vol. 4, Iss. 4, 2013-12 ,pp. : 353-364

Springer Publishing Company

Access to resources Recommend Favorite

Enhancing Cross-Correlation Analysis with Artificial Neural Networks for Nuclear Power Plant Feedwater Flow Measurement

By Roverso Davide   Ruan Da  

Real-Time Systems, Vol. 27, Iss. 1, 2004-05 ,pp. : 85-96

Springer Publishing Company

Access to resources Recommend Favorite

Hydroelectric power plant management relying on neural networks and expert system integration

By Molina J.M.   Isasi P.   Berlanga A.   Sanchis A.  

Engineering Applications of Artificial Intelligence, Vol. 13, Iss. 3, 2000-06 ,pp. : 357-369

Elsevier

Access to resources Recommend Favorite

Artificial-neural-network-based Fast Valving Control in a Power-generation System

By Yingduo H.   Zonghong W.   Qi C.   Shaohua T.  

Engineering Applications of Artificial Intelligence, Vol. 10, Iss. 2, 1997-04 ,pp. : 139-155

Elsevier

Access to resources Recommend Favorite