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.
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Mar 2, 2022 - Jupyter Notebook
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power-transformers
Here are 12 public repositories matching this topic...
An implementation of Dissolved Gas Analysis (DGA) assessment algorithms and guidelines in the form of Excel Add-ins.
diagnosis
dga
asset-management
dissolved-gas-analysis
power-transformers
oil-analysis
condition-monitoring
condition-assessment
duval-triangle
duval-triangle-excel
duval-pentagon-excel
duval-pentagon
iec-60599
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Jun 28, 2022 - C#
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
rating
matlab
dtr
thermal
smart-grid
capacity
power-transformers
ambient-temperature
thermal-model
dynamic-thermal-rating
iec-60076-7
admissible-loadings
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Jun 23, 2024 - MATLAB
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
grid
matlab
dtr
substation
demand-response
power-transformers
reserve
dynamic-thermal-rating
load-growth
thermal-rating
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Jun 23, 2024 - MATLAB
The aim of this project is to predict fraudulent credit card transactions with the help of different machine learning models.
machine-learning-algorithms
pipelines
banking
hyperparameter-optimization
data-analysis
logistic-regression
hyperparameter-tuning
decision-tree-classifier
svm-classifier
smote
oversampling
kneighborsclassifier
random-forest-classifier
power-transformers
adasyn
imblearn
credit-card-fraud-detection
randomoversampler
xgboost-classifier
fraud-analytics
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Jan 24, 2023 - Jupyter Notebook
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"
smart-grid
power-transformers
economic-dispatch
receding-horizon-control
dynamic-thermal-rating
ieee-thermal-model
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Jun 23, 2024 - MATLAB
MATLAB code for the paper "optimal ageing limit of oil-immersed transformers in flexible power systems". in CIRED 2021
matlab
dtr
flexibility
asset-management
power-transformers
ambient-temperature
energy-transfer
thermal-model
dynamic-thermal-rating
iec-60076-7
energy-limit
ageing-limit
oil-immersed-transformer
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Jun 23, 2024 - MATLAB
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.
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Jun 23, 2024 - MATLAB
Data preprocessing is a data mining technique that is used to transform the raw data into a useful and efficient format.
sklearn
feature-selection
outliers
outlier-detection
standardization
features
feature-scaling
feature-transformation
normalization
outlier-removal
power-transformers
datapreprocessing
onehot-encoding
ordinal-encoding
labelencoder
function-transformer
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Aug 14, 2024 - Jupyter Notebook
Housing Price Prediction Challenge
machine-learning
random-forest
svm
linear-regression
eda
feature-selection
feature-engineering
regression-models
hyperparameter-tuning
power-transformers
r2-score
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Jan 26, 2021 - Jupyter Notebook
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,
matlab
smart-grid
power-transformers
ambient-temperature
thermal-model
dynamic-thermal-rating
iec-60076-7
energy-limit
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Jun 23, 2024 - MATLAB
Power Transformer works best on linear model and The Power Transformer actually automates this decision making by introducing a parameter called lambda. It decides on a generalized power transform by finding the best value of lambda
linear-regression
seaborn
stats
matplotlib
feature-engineering
power-transformers
r2-score
yeo-johnson-transformations
boxcox
power-transformer
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Apr 28, 2022 - Jupyter Notebook
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