This repository contains the Jupyter notebooks of the intriguing physical constants ratios that are at play in Advanced Metering Infrstructure Analytics of [Jupyter-Notebook-MachineLearning-Smart-Meter-Analytics(2018)](https://www.packtpub.com/big-data-and-smart-meter/-first-e/ https://zenodo.org/badge/latestdoi/), by Ami-Solution, Packt Publishing.
This repository is read-only: the source files are on the Jupyter-Notebook-MachineLearning-Smart-Meter-Analytics repository.
With Binder, you can run most of the Jupyter notebooks directly from your web browser without installing anything. Just click on the launch binder button above. A temporary Jupyter Notebook server with all dependencies will be automatically launched in the cloud. It is not persistent: all your changes will be lost after some time.
Master Thesis Energy Engineering Course
This project was developed with the purpose of using it as a master dissertation for Energy engineering course at Politecnico di Milano under the Data Analytics and Optimization for Energy applications Lab