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Optimization of electric power prediction of a combined cycle power plant using innovative machine learning technique
EL Ntantis, V Xezonakis - Optimal Control Applications and …, 2024 - Wiley Online Library
Accurate prediction of electric power generation in combined cycle power plants is
challenging yet crucial, especially when employing machine learning techniques like …
challenging yet crucial, especially when employing machine learning techniques like …
[PDF][PDF] Estimating power generation of a combined cycle power plant using artificial intelligence technique
V Xezonakis, OD Samuel… - Journal of Infrastructure …, 2024 - researchgate.net
Among contemporary computational techniques, Artificial Neural Network (ANN) and
Adaptive Neuro-Fuzzy Inference System (ANFIS) are favoured because of their capacity to …
Adaptive Neuro-Fuzzy Inference System (ANFIS) are favoured because of their capacity to …
Benchmarking of Deep Learning Algorithms for Compressor Air Leak Prediction in a Gas Turbine
DI Nogueras-Rivera, H Bonilla-Alvarado… - 2022 IEEE/PES …, 2022 - ieeexplore.ieee.org
In today's electrical grid, power plants are required to continuously monitor performance by
combining sensors with advanced data analytics to provide reliable and efficient energy …
combining sensors with advanced data analytics to provide reliable and efficient energy …
Hyper-Parameter Optimization of Deep Learning Models for Compressor Air Leak Prediction in a Gas Turbine
DI Nogueras-Rivera… - ASME Power …, 2022 - asmedigitalcollection.asme.org
Gas turbine systems are widely used in the power industry because they provide continuous
and reliable power to the electrical grid. One of the main concerns for implementing gas …
and reliable power to the electrical grid. One of the main concerns for implementing gas …