Journal of Power and Energy Engineering

Journal of Power and Energy Engineering

ISSN Print: 2327-588X
ISSN Online: 2327-5901
www.scirp.org/journal/jpee
E-mail: jpee@scirp.org
"Prediction of Electrical Output Power of Combined Cycle Power Plant Using Regression ANN Model"
written by Elkhawad Ali Elfaki, Ahmed Hassan Ahmed,
published by Journal of Power and Energy Engineering, Vol.6 No.12, 2018
has been cited by the following article(s):
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[2] Heat Rate Prediction of Combined Cycle Power Plant Using an Artificial Neural Network (ANN) Method
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[3] Life performance prediction of natural gas combined cycle power plant with intelligent algorithms
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[4] Optimization of a 660 MW e Supercritical Power Plant Performance—A Case of Industry 4.0 in the Data-Driven Operational Management Part 1. Thermal …
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[5] Optimization of a 660 MWe Supercritical Power Plant Performance—A Case of Industry 4.0 in the Data-Driven Operational Management. Part 2. Power …
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[6] Combined cycle gas turbine power output prediction and data mining with optimized data matching algorithm
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[7] Predicting the power of a combined cycle power plant using machine learning methods
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[8] Modeling, Simulation and Optimization of Power Plant Energy Sustainability for IoT Enabled Smart Cities Empowered With Deep Extreme Learning Machine
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[9] Optimization of a 660 MWe Supercritical Power Plant Performance—A Case of Industry 4.0 in the Data-Driven Operational Management. Part 2. Power Generation
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[10] Studying the Condition Based Maintenance Dataset of Naval Propulsion Plants Using Regression ANN
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[11] Prediction of Power Output for Combined Cycle Power Plant Using Random Decision Tree Algorithms and ANFIS
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[12] Multiple Linear Regression based on Coefficients Identification using Non-Iterative SGTM Neural-Like Structure
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