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Combustion Performance Prediction in Oil and Gas Plants Using Integrated Neural Network Analytics by Aditya kushwaha is a document available to read on EtoBox.

This study presents an integrated neural network model for predicting combustion performance in oil and gas plants, utilizing real-time sensor data from SAP S/4HANA. The model outperforms traditional machine learning methods, achieving significant efficiency improvements and reduced CO₂ emissions. It aims to enhance operational decision-making by providing accurate forecasts and insights into combustion processes, thereby promoting sustainability in the industry.

Author
Aditya kushwaha
Language
EN