Modeling of Turbine Cycles Using a Neuro-Fuzzy Based Approach to Predict Turbine-Generator Output for Nuclear Power Plants

Author： Chan Yea-Kuang   Gu Jyh-Cherng  

Publisher： MDPI

E-ISSN： 1996-1073|5|1|101-118

ISSN： 1996-1073

Source： Energies, Vol.5, Iss.1, 2012-01, pp. : 101-118

Access to resources Favorite

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

Harmonic Modelling of the Wind Turbine Induction Generator for Dynamic Analysis of Power Quality

By García Héctor   Segundo Juan   Rodríguez-Hernández Osvaldo   Campos-Amezcua Rafael   Jaramillo Oscar  

Energies, Vol. 11, Iss. 1, 2018-01 ,pp. : 104-104

MDPI

Access to resources Recommend Favorite

Adaptive Feedback Linearization Based NeuroFuzzy Maximum Power Point Tracking for a Photovoltaic System

By Mumtaz Sidra   Ahmad Saghir   Khan Laiq   Ali Saima   Kamal Tariq   Hassan Syed Zulqadar  

Energies, Vol. 11, Iss. 3, 2018-03 ,pp. : 606-606

MDPI

Access to resources Recommend Favorite

A Shrouded Wind Turbine Generating High Output Power with Wind-lens Technology

By Ohya Yuji   Karasudani Takashi  

Energies, Vol. 3, Iss. 4, 2010-03 ,pp. : 634-649

MDPI

Access to resources Recommend Favorite

Modelling and Internal Fuzzy Model Power Control of a Francis Water Turbine

By Nagode Klemen   Škrjanc Igor  

Energies, Vol. 7, Iss. 2, 2014-02 ,pp. : 874-889

MDPI

Access to resources Recommend Favorite

Fish Passage Assessment of an Advanced Hydropower Turbine and Conventional Turbine Using Blade-Strike Modeling

By Deng Zhiqun   Carlson Thomas J.   Dauble Dennis D.   Ploskey Gene R.  

Energies, Vol. 4, Iss. 1, 2011-01 ,pp. : 57-67

MDPI

Access to resources Recommend Favorite