azure-ml

Published Date
18 May 2025 12 AM
Article Title
Battery Simulation Experiment Using Python And Pybamm
Short Description
Simulating several scenario on battery such as discharge-charge-rest cycle using python, miniconda and pybamm.
DF
Degananda Ferdian on ml
Table of Content
Topics Covered
Background
Before procuring or creating a battery, its important for a research to understand how the battery works. The simulation result then can be used as baseline to design the battery.
Objectives
to Understand and simulate Battery behavior under certain condition, model and parameter such as battery type, chemical, life cycle etc.
Deliverables
Article, Ilustration
9 Mins Read.
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Exposing Machine Learning Trained Model To An Api
Create an API to expose battery performance grading machine learnig model using FastAPI. The API will be able to classify battery specs grade.
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Deploying Local Ml Code Using Sklearn And Mlflow To Azure Machine Learning Compute Cluster
Deploying local machine learning code to the azure machine learning notebook
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Predict Battery Performance And Grading Using Machine Learning
Given sets of battery performance metrics, classify the feature based on the battery grade. Each grading will determine the application of battery. Highest grade will go to EV factory. Lowest grade goes to toys manufacturer.
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5 Mins Read.
11 May 2025
Hello World On Machine Learning Code With Azure Ml For Battery Supplier Recommendation Engine
Hello Machine Learning. First step on writing ML Code on Battery Supplier / Procurement recommendation use cases.
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