This is a sample code repository of the power transformer's health state (index) analysis or prediction by the regression model for experiment and learning purposes.
-
Updated
Mar 2, 2022 - Jupyter Notebook
This is a sample code repository of the power transformer's health state (index) analysis or prediction by the regression model for experiment and learning purposes.
An implementation of Dissolved Gas Analysis (DGA) assessment algorithms and guidelines in the form of Excel Add-ins.
MATLAB code and data for the article 📋: I. Daminov, A. Prokhorov, R. Caire, M-C Alvarez-Herault, “Assessment of dynamic transformer rating, considering current and temperature limitations” in International Journal of Electrical Power & Energy Systems (IF: 3,588, Q1), 2021
MATLAB code and data for the research article : I. Daminov, R. Rigo-Mariani, R. Caire, A. Prokhorov, M-C Alvarez-Herault, “Demand Response Coupled with Dynamic Thermal Rating for Increased Transformer Reserve and Lifetime” in Energies (IF: 2.702, Q2), 2021
The aim of this project is to predict fraudulent credit card transactions with the help of different machine learning models.
MATLAB code and data for the paper I. Daminov, A. Prokhorov,T. Moiseeva, M-C. Alvarez-Hérault, R. Caire,"Application of dynamic transformer ratings to increase the reserve of primary substations for new load interconnection" in CIRED conference, Madrid, Spain, 2019.
MATLAB code for the paper "optimal ageing limit of oil-immersed transformers in flexible power systems". in CIRED 2021
MATLAB code and data for the paper Ildar Daminov, Anton Prokhorov, Raphael Caire, Marie-Cécile Alvarez-Herault, "Receding horizon control application for dynamic transformer ratings in a real-time economic dispatch,"in IEEE PES Powertech, Milan, Italy, 2019. DOI: 10.1109/PTC.2019.8810511"
MATLAB code and data for the research article : I. Daminov, A. Prokhorov, R. Caire, M-C Alvarez-Herault, “Energy limit of oil‐immersed transformers: A concept and its application in different climate conditions” in IET Generation, Transmission & Distribution (IF: 2,862, Q1), 2021,
An automated Machine Learning system for predicting loan approval using SVM. It analyzes applicant financial data like income and credit history to assess risk. The project highlights the use of Power Transformation (Yeo-Johnson) to handle data skewness, ensuring high accuracy and enabling faster, data-driven banking decisions.
Housing Price Prediction Challenge
A simple python application for performing power or inverse transform on an image
Data preprocessing is a data mining technique that is used to transform the raw data into a useful and efficient format.
A MATLAB application designed to automate the calculation and visualization of Dissolved Gas Analysis (DGA) for power transformers.
Add a description, image, and links to the power-transformers topic page so that developers can more easily learn about it.
To associate your repository with the power-transformers topic, visit your repo's landing page and select "manage topics."