Supervised learning-based multi-site lean blowout prediction for dry low emission gas turbine

AA Bahashwan, R Ibrahim, M Omar… - Expert Systems with …, 2024 - Elsevier
Current dry low emission (DLE) gas turbines have extremely low nitrogen oxides (NOx)
emissions, allowing them to comply with stringent environmental regulations. The ultra-low …

To evaluate the operational status of the transformer load using a feed-forward neural network for analysis

F Khojayorov, A Saidkhodjaev - E3S Web of Conferences, 2023 - e3s-conferences.org
The results of the first transformer load obtained using the FNN neural network in Fig. 5
determined on the basis of the algorithm described in Fig. 4 show that if the dynamics of …

Thermal performance analysis of gas turbine power plant using soft computing techniques: a review

RS Surase, R Konijeti, RP Chopade - Engineering Applications of …, 2024 - Taylor & Francis
Gas turbines are pivotal in electricity generation and industry, prized for their efficiency and
flexibility in meeting diverse power needs. Optimizing their thermal efficiency is essential for …

[PDF][PDF] Prediction and Comparative Analysis of Emissions from Gas Turbines Using Random Search Optimization and Different MachineL earning Based Algorithms

E Aslan - Bulletin of the Polish Academy of Sciences Technical …, 2024 - journals.pan.pl
Gas turbines are widely used for power generation globally, and their greenhouse gas
emissions have increasingly drawn public attention. Compliance with environmental …

[HTML][HTML] XGBoost Based Enhanced Predictive Model for Handling Missing Input Parameters: A Case Study on Gas Turbine

NB Shaik, K Jongkittinarukorn, K Bingi - Case Studies in Chemical and …, 2024 - Elsevier
This work extensively develops and evaluates an XGBoost model for predictive analysis of
gas turbine performance. The goal is to construct a robust prediction model by utilizing …

Hybrid Particle Swarm Optimization and Feedforward Neural Network Model for Enhanced Prediction of Gas Turbine Emissions

AN Awad, TS Jarad - International Journal of Energy Production and …, 2024 - elar.urfu.ru
Gas emissions, particularly carbon monoxide (CO) and nitrogen oxide (NOx), pose
significant operational and environmental challenges in gas-fired power plants, especially …

Real-time uav system integration for fire detection and classification

MB Omar, R Ibrahim, K Bingi… - 2023 IEEE …, 2023 - ieeexplore.ieee.org
Early and efficient smoke/fire detection is vital in ensuring the quick arrival and action of the
emergency response team. This is to ensure minimal damage is taken by the facility …

[PDF][PDF] International Journal of Energy Production and Management

AN Awad, TS Jarad - Management, 2024 - pdfs.semanticscholar.org
Gas emissions, particularly carbon monoxide (CO) and nitrogen oxide (NOx), pose
significant operational and environmental challenges in gas-fired power plants, especially …

Fusion of Thermal Image and Temperature of Convective Cloud Classification for Cloud Seeding Process Using Vgg16 and Xgboost

MB Omar, NAB Amir, MAB Anawar, M Faqih… - Available at SSRN … - papers.ssrn.com
In cloud seeding operations, accurately identifying the convective cloud as ideal
environment for precipitation remains a formidable challenge due to unpredictable nature …