<> "The repository administrator has not yet configured an RDF license."^^ . <> . . . "Performance Prediction of A Power Generation Gas Turbine Using An Optimized Artificial Neural Network Model"^^ . "This paper introduces an innovative application of an Artificial Neural Network (ANN) based model for the performance prediction of a power generation gas turbine. this approach optimizes the ANN model by utilizing a comprehensive database to compare various ANN topologies. Based on optimization results, a two-layer Multi-Layer Perceptron (MLP) was constructed and used as the best-optimized topology for such applications. The training dataset comprises historical operational data from a Rolls-Royce (RB21-24G) gas turbine unit. Notably, this model shows substantial accuracy for different ambient conditions and variable power ratings. Furthermore, a sensitivity analysis using various methods was introduced to study the impact of each input on the model outputs. To validate the model's reliability and novelty, we introduce a degradation study, comparing one-year-later on-site operational data with predicted values generated by the ANN model. Remarkably, the results demonstrate strong consistency between measured data and model predictions. © 2024 AIUB Office of Research and Publication. All rights reserved."^^ . "2024" . . "23" . "1" . . "AIUB Office of Research and Publication"^^ . . . "AIUB Journal of Science and Engineering"^^ . . . "16083679" . . . . . . . "A.M."^^ . "Albaghdadi"^^ . "A.M. Albaghdadi"^^ . . . . . "HTML Summary of #20005 \n\nPerformance Prediction of A Power Generation Gas Turbine Using An Optimized Artificial Neural Network Model\n\n" . "text/html" . .