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):
  • Google Scholar
  • CrossRef
[1] 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 …, 2024
[2] An emission predictive system for CO and NOx from gas turbine based on ensemble machine learning approach
Fuel, 2024
[3] Modelling and Output Power Estimation of a Combined Gas Plant and a Combined Cycle Plant Using an Artificial Neural Network Approach
Journal of …, 2024
[4] Power Prediction in Combined Cycle Power Plant through ML and DL Regression Techniques
2024 International …, 2024
[5] Analysis of heat recovery steam generator performance through simulation based on artificial neural network
AIP Conference …, 2023
[6] 인공지능을 활용한 가스터빈 최대출력 예측 방법
한국추진공학회 학술대회 …, 2023
[7] Predicting Power Generation from a Combined Cycle Power Plant Using Transformer Encoders with DNN
Electronics, 2023
[8] Modelling and Energy Optimization of a Thermal Power Plant Using a Multi-Layer Perception Regression Method
WSEAS Transactions on Systems …, 2023
[9] Adaptive Bayesian Optimization for Fast Exploration Under Safety Constraints
IEEE Access, 2023
[10] Artificial intelligence driven smart operation of large industrial complexes supporting the net-zero goal: Coal power plants
Digital Chemical Engineering, 2023
[11] Electrical power output prediction of combined cycle power plants using a recurrent neural network optimized by waterwheel plant algorithm
Kenawy, A Ibrahim… - Frontiers in Energy …, 2023
[12] 운전데이터 기반 가스복합발전 플랜트 발전량 예측
유체기계 연구개발 …, 2022
[13] Electrical energy prediction of combined cycle power plant using gradient boosted generalized additive model
IEEE Access, 2022
[14] Comparison of adaptive neuro-fuzzy inference system (ANFIS) and machine learning algorithms for electricity production forecasting
IEEE Latin America …, 2022
[15] Predicting electrical power output of combined cycle power plants using a novel artificial neural network optimized by electrostatic discharge algorithm
Measurement, 2022
[16] Predicting streamflow in Peninsular Malaysia using support vector machine and deep learning algorithms
Scientific Reports, 2022
[17] EGD-SNet: A computational search engine for predicting an end-to-end machine learning pipeline for Energy Generation & Demand Forecasting
Applied Energy, 2022
[18] Prediction of NOx emissions from gas turbines of a combined cycle power plant using an ANFIS model optimized by GA
Fuel, 2022
[19] Forecasting the energy output from a combined cycle thermal power plant using deep learning models
Case Studies in Thermal Engineering, 2021
[20] Power prediction of combined cycle power plant (CCPP) using machine learning algorithm-based paradigm
… and Mobile Computing, 2021
[21] Heat Rate Prediction of Combined Cycle Power Plant Using an Artificial Neural Network (ANN) Method
2021
[22] Life performance prediction of natural gas combined cycle power plant with intelligent algorithms
2021
[23] Power plant energy predictions based on thermal factors using ridge and support vector regressor algorithms
Energies, 2021
[24] Smart and Intelligent Energy Monitoring Systems: A Comprehensive Literature Survey and Future Research Guidelines
2021
[25] Prediction of combined cycle power plant electrical output power using machine learning regression algorithms
Eastern-European Journal of Enterprise …, 2021
[26] Power Plant Energy Predictions Based on Thermal Factors Using Ridge and Support Vector Regressor Algorithms. Energies 2021, 14, 7254
2021
[27] Applicability of correlational data-mining to small-scale turbojet performance map generation
Valderrama, P Juárez-Pérez… - International Journal of …, 2021
[28] Prediction of energy generated from composite cycle power plant in smart cities
Periodicals of Engineering and Natural Sciences, 2021
[29] СТЕКІНГ НЕЙРОПОДІБНОЇ СТРУКТУРИ МПГП З RBF ШАРОМ НА ПІДСТАВІ ГЕНЕРУВАННЯ ВИПАДКОВОГО КОРТЕЖУ ЇЇ ГІПЕРПАРАМЕТРІВ ДЛЯ …
2021
[30] Power Prediction of Combined Cycle Power Plant (CCPP) Using Machine Learning Algorithm‐Based Paradigm
Wireless …, 2021
[31] Research Article Power Prediction of Combined Cycle Power Plant (CCPP) Using Machine Learning Algorithm-Based Paradigm
2021
[32] 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 …
2020
[33] Optimization of a 660 MWe Supercritical Power Plant Performance—A Case of Industry 4.0 in the Data-Driven Operational Management. Part 2. Power …
2020
[34] Combined cycle gas turbine power output prediction and data mining with optimized data matching algorithm
2020
[35] Predicting the power of a combined cycle power plant using machine learning methods
2020
[36] Modeling, Simulation and Optimization of Power Plant Energy Sustainability for IoT Enabled Smart Cities Empowered With Deep Extreme Learning Machine
2020
[37] 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
2020
[38] Studying the Condition Based Maintenance Dataset of Naval Propulsion Plants Using Regression ANN
2019
[39] Prediction of Power Output for Combined Cycle Power Plant Using Random Decision Tree Algorithms and ANFIS
2019
[40] Multiple Linear Regression based on Coefficients Identification using Non-Iterative SGTM Neural-Like Structure
2019
Free SCIRP Newsletters
Copyright © 2006-2025 Scientific Research Publishing Inc. All Rights Reserved.
Top