Predicting electrical power output of combined cycle power plants using a novel artificial neural network optimized by electrostatic discharge algorithm
Published 2022 View Full Article
- Home
- Publications
- Publication Search
- Publication Details
Title
Predicting electrical power output of combined cycle power plants using a novel artificial neural network optimized by electrostatic discharge algorithm
Authors
Keywords
-
Journal
MEASUREMENT
Volume 198, Issue -, Pages 111405
Publisher
Elsevier BV
Online
2022-05-27
DOI
10.1016/j.measurement.2022.111405
References
Ask authors/readers for more resources
Related references
Note: Only part of the references are listed.- Multiobjective Evolution of the Explainable Fuzzy Rough Neural Network with Gene Expression Programming
- (2022) Bin Cao et al. IEEE TRANSACTIONS ON FUZZY SYSTEMS
- Analysis of the Influence of Rectifier Blockage on the Metering Performance during Shale Gas Extraction
- (2021) Shanbi Peng et al. ENERGY & FUELS
- An automated breast cancer diagnosis using feature selection and parameter optimization in ANN
- (2021) Punitha S. et al. COMPUTERS & ELECTRICAL ENGINEERING
- An Innovative Metaheuristic Strategy for Solar Energy Management through a Neural Networks Framework
- (2021) Hossein Moayedi et al. Energies
- Constituting Abrupt Magnetic Flux Density Change for Power Density Improvement in Electromagnetic Energy Harvesting
- (2021) Zhongjie Li et al. INTERNATIONAL JOURNAL OF MECHANICAL SCIENCES
- Heat Rate Prediction of Combined Cycle Power Plant Using an Artificial Neural Network (ANN) Method
- (2021) Yondha Dwika Arferiandi et al. SENSORS
- Electrical Power Prediction through a Combination of Multilayer Perceptron with Water Cycle Ant Lion and Satin Bowerbird Searching Optimizers
- (2021) Hossein Moayedi et al. Sustainability
- Experimental study on small power generation energy storage device based on pneumatic motor and compressed air
- (2021) Yonghong Xu et al. ENERGY CONVERSION AND MANAGEMENT
- Erosion simulation and improvement scheme of separator blowdown system ——A case study of Changning national shale gas demonstration area
- (2021) Enbin Liu et al. Journal of Natural Gas Science and Engineering
- Fault diagnosis of angle grinders and electric impact drills using acoustic signals
- (2021) Adam Glowacz et al. APPLIED ACOUSTICS
- Prediction of electricity generation from a combined cycle power plant based on a stacking ensemble and its hyperparameter optimization with a grid-search method
- (2021) Zhijian Qu et al. ENERGY
- Investigation of frequency-up conversion effect on the performance improvement of stack-based piezoelectric generators
- (2021) Yan Peng et al. RENEWABLE ENERGY
- Landslide susceptibility mapping using artificial neural network tuned by metaheuristic algorithms
- (2021) Mohammad Mehrabi et al. Environmental Earth Sciences
- Cost-Effective and Highly Reliable Circuit-Components Design for Safety-Critical Applications
- (2021) Aibin Yan et al. IEEE TRANSACTIONS ON AEROSPACE AND ELECTRONIC SYSTEMS
- A Criterion and Stochastic Unit Commitment Towards Frequency Resilience of Power Systems
- (2021) Yang Yang et al. IEEE TRANSACTIONS ON POWER SYSTEMS
- Daily natural gas load forecasting based on the combination of long short term memory, local mean decomposition, and wavelet threshold denoising algorithm
- (2021) Shanbi Peng et al. Journal of Natural Gas Science and Engineering
- Neuromorphic Context-Dependent Learning Framework With Fault-Tolerant Spike Routing
- (2021) Shuangming Yang et al. IEEE Transactions on Neural Networks and Learning Systems
- Optimal modification of heating, ventilation, and air conditioning system performances in residential buildings using the integration of metaheuristic optimization and neural computing
- (2020) Zhanjun Guo et al. ENERGY AND BUILDINGS
- Sustainable personnel scheduling supported by an artificial neural network model in a natural gas combined cycle power plant
- (2020) Emir Hüseyin Özder et al. INTERNATIONAL JOURNAL OF ENERGY RESEARCH
- Fuzzy-metaheuristic ensembles for spatial assessment of forest fire susceptibility
- (2020) Hossein Moayedi et al. JOURNAL OF ENVIRONMENTAL MANAGEMENT
- Hybridizing four wise neural-metaheuristic paradigms in predicting soil shear strength
- (2020) Hossein Moayedi et al. MEASUREMENT
- Nature-inspired hybrid techniques of IWO, DA, ES, GA, and ICA, validated through a k-fold validation process predicting monthly natural gas consumption
- (2020) Weibiao Qiao et al. ENERGY AND BUILDINGS
- A new multikernel relevance vector machine based on the HPSOGWO algorithm for predicting and controlling blast-induced ground vibration
- (2020) Zhi Yu et al. ENGINEERING WITH COMPUTERS
- Prediction of SOx–NOx emission from a coal-fired CFB power plant with machine learning: Plant data learned by deep neural network and least square support vector machine
- (2020) Derrick Adams et al. JOURNAL OF CLEANER PRODUCTION
- Novel Speed-and-Power-Optimized SRAM Cell Designs With Enhanced Self-Recoverability From Single- and Double-Node Upsets
- (2020) Aibin Yan et al. IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS I-REGULAR PAPERS
- Deep learning and wavelet transform integrated approach for short-term solar PV power prediction
- (2020) Manohar Mishra et al. MEASUREMENT
- Fast-training feedforward neural network for multi-scale power quality monitoring in power systems with distributed generation sources
- (2020) O. Cortes-Robles et al. MEASUREMENT
- The role of computational fluid dynamics tools on investigation of pathogen transmission: Prevention and control
- (2020) Shanbi Peng et al. SCIENCE OF THE TOTAL ENVIRONMENT
- Slope Stability Analysis Considering Different Contributions of Shear Strength Parameters
- (2020) Yifan Chen et al. International Journal of Geomechanics
- Electrostatic Discharge Algorithm (ESDA): A Novel Nature-Inspired Optimization Algorithm and its Application to Worst-Case Tolerance Analysis of An EMC Filter
- (2019) Houssem Bouchekara IET Science Measurement & Technology
- Empirical mode decomposition based hybrid ensemble model for electrical energy consumption forecasting of the cement grinding process
- (2019) Zhao Liu et al. MEASUREMENT
- Phase resolved method using the Hill-Climbing Metaheuristic Algorithm applied for the spectral separation from photoacoustic spectra of chilli pepper skin and yellow corn pericarp
- (2019) J. Jaime et al. MEASUREMENT
- Genetic Algorithm Approach to Design of Multi-Layer Perceptron for Combined Cycle Power Plant Electrical Power Output Estimation
- (2019) Ivan Lorencin et al. Energies
- Novel swarm-based approach for predicting the cooling load of residential buildings based on social behavior of elephant herds
- (2019) Hossein Moayedi et al. ENERGY AND BUILDINGS
- A hybrid model of an artificial neural network with thermodynamic model for system diagnosis of electrical power plant gas turbine
- (2018) M. Talaat et al. ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE
- Novel approach for dam break flow modeling using computational intelligence
- (2018) Omid Seyedashraf et al. JOURNAL OF HYDROLOGY
- A hybrid model integrating improved flower pollination algorithm-based feature selection and improved random forest for NO X emission estimation of coal-fired power plants
- (2018) Fang Wang et al. MEASUREMENT
- Application of metaheuristic algorithms to optimal clustering of sawing machine vibration
- (2018) Ahmad Aryafar et al. MEASUREMENT
- Modification of landslide susceptibility mapping using optimized PSO-ANN technique
- (2018) Hossein Moayedi et al. ENGINEERING WITH COMPUTERS
- Combined cycle power plant performance evaluation using exergy and energy analysis
- (2017) Lalatendu Pattanayak et al. Environmental Progress & Sustainable Energy
- The optimum performance of the combined cycle power plant: A comprehensive review
- (2017) Thamir k. Ibrahim et al. RENEWABLE & SUSTAINABLE ENERGY REVIEWS
- A new hybrid ANFIS–PSO model for prediction of peak particle velocity due to bench blasting
- (2016) Ebrahim Ghasemi et al. ENGINEERING WITH COMPUTERS
- Reliability modeling and availability analysis of combined cycle power plants
- (2016) Hamed Sabouhi et al. INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS
- Optimization of fog inlet air cooling system for combined cycle power plants using genetic algorithm
- (2015) Mehdi A. Ehyaei et al. APPLIED THERMAL ENGINEERING
- The characteristics of ultramodern combined cycle power plants
- (2015) Janusz Kotowicz et al. ENERGY
- Prediction of full load electrical power output of a base load operated combined cycle power plant using machine learning methods
- (2014) Pınar Tüfekci INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS
- Automatic generation control of a combined cycle gas turbine plant with classical controllers using Firefly Algorithm
- (2013) Lalit Chandra Saikia et al. INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS
- Exergoeconomic analysis and optimization of an Integrated Solar Combined Cycle System (ISCCS) using genetic algorithm
- (2011) A. Baghernejad et al. ENERGY CONVERSION AND MANAGEMENT
Find the ideal target journal for your manuscript
Explore over 38,000 international journals covering a vast array of academic fields.
SearchAdd your recorded webinar
Do you already have a recorded webinar? Grow your audience and get more views by easily listing your recording on Peeref.
Upload Now