Master Thesis Energy Engineering
This project was developed was the purpose of master dissertation for Energy engineering course at Politecnico di Milano under the Data Analytics and Optimization for Energy applications Lab
Master Thesis for Energy Engineering #Python. This repository contains codes developed in Python which deals with smart meter analytics. Building consumption dataset from Pecan Street Dataport was obtained along with temperature and irradiance data. The dataset was used to build machine learning models using linear regression, random forest deicision tree, Neural networks and Support vector machines. This repository is still immature. More notebooks will being added and updated in the future.
Master Thesis Energy Engineering
This project was developed was the purpose of master dissertation for Energy engineering course at Politecnico di Milano under the Data Analytics and Optimization for Energy applications Lab
Master Thesis for Energy Engineering #Python. This repository contains codes developed in Python which deals with smart meter analytics. Building consumption dataset from Pecan Street Dataport was obtained along with temperature and irradiance data. The dataset was used to build machine learning models using linear regression, random forest deicision tree, Neural networks and Support vector machines. This repository is still immature. More notebooks will being added and updated in the future.