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auto-pytorch

Automatic architecture search and hyperparameter optimization for PyTorch

auto-sklearn

Automated Machine Learning with scikit-learn

breakoutdetection

Breakout Detection via Robust E-Statistics

building-data-genome-project-2

Whole building non-residential hourly energy meter data from the Great Energy Predictor III competition

data-driven_building_simulation_polimi_eetbs

In this repository, you found the notebooks and data regarding the lessons on Data-driven building behaviour prediction and simulation which have been offered in the context of "Energy and Environmental Technologies for Building System" course at Politecnico di Milano

data-driven_building_simulation_projects

enernoc-100-building-open-dataset-analysis

An IPython notebook overview of EnerNOC's open dataset

feature-selector

Feature selector is a tool for dimensionality reduction of machine learning datasets

forensic-analysis-of-building-energy-data

Example Dataset from SimAUD 2015 Paper

heco

High-resolution heating and cooling profiles based on a lumped-parameters thermodynamic building stock model

lectures_on_openstudio_polimi

Presentation and Project files of the lectures on OpenStudio

machinelearning_smartmeteranalytics

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.

openstudioprojects_polimi_eetbs

This repository includes the files and presentations of group projects on simulation of Commercial Buildings with OpenStudio (EnergyPlus) in the context of Energy and environmental Technologies for Building Systems (Politecnico di Milano)

python-for-building-analysts

Jupyter notebook tutorials to teach scripting to building performance analysis experts

python4scientificcomputing_fundamentals

This repository includes the guidelines and the exercise files of the first part of my lectures on python for scientific programming which is dedicated to a general introduction to Python programming language. These lectures are a part of the "Energy and Environmental Technologies for Building Systems" course offered for M.Sc in Energy Eng. at Politecnico di Milano.

python4scientificcomputing_numpy_pandas_matplotlib

python4ScientificComputing, Numpy, Pandas and Matplotlib

scientific_python_assignments_polimi_eetbs

Scientific Python Assignments of Students of the EETBS Course in Politecnico di Milano

temporal-features-for-nonres-buildings-library

Jupyter notebooks for the Energy and Buildings Publication

the-building-data-genome-project

A collection of non-residential buildings for performance analysis and algorithm benchmarking