M.Sc Student at Sharif University Of Technology
Tehran, Ian
ali.aghadadashi@gmail.com
+98 914 690 2707
Skills
Machine Learning
Deep Learning
Optimization
Energy Modeling
Languages
English
Turkish
Persian
This project is defined based on the failure of the sensors of the Qom power plant pollutant emissions detector, and the goal is to estimate the pollutant emissions using machine learning and deep learning methods. My work in this project is to implement the neural network to estimate emissions and engineering features, as well as implement the genetic algorithm to optimize the values of the effective features on the emissions. It should be noted that this project is based on Matlab and Python Languages.
As we know, every equipment that works has some pollutant emissions directly due to electricity consumption and some pollutant emissions indirectly due to breakdowns and other factors. The purpose of this project is to analyze the refrigerators of a company in the form of a life cycle analysis in order to evaluate the total amount of emissions from the refrigeration equipment of this company during its life-time and different stages.
This is my M.Sc thesis
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