Metadata-Version: 2.4
Name: renovexpy
Version: 1.0
Summary: A Python toolbox for the Renovation Explorer project
Author-email: Alexis Cvetkov-Iliev <a.cvetkov.iliev@tue.nl>
Project-URL: Homepage, https://gitlab.tue.nl/bp-tue/renovatieverkenner/renovexpy
Classifier: Programming Language :: Python :: 3
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: OS Independent
Requires-Python: >=3.10
Description-Content-Type: text/markdown
Requires-Dist: numpy<=2.0
Requires-Dist: pandas
Requires-Dist: Geometry3D
Requires-Dist: shapely
Requires-Dist: tqdm
Requires-Dist: matplotlib
Requires-Dist: esoreader
Requires-Dist: scipy
Requires-Dist: numba
Requires-Dist: ipykernel
Requires-Dist: pythermalcomfort
Requires-Dist: pyarrow
Requires-Dist: joblib
Requires-Dist: trimesh[easy]
Requires-Dist: triangle
Requires-Dist: scikit-learn
Requires-Dist: fast-pareto
Requires-Dist: epw
Requires-Dist: openpyxl

# Renovexpy

The `renovexpy` package is a Python library developed for the Renovation Explorer project. In its current form, it provides scripts and functions to facilitate the simulation of terraced houses with EnergyPlus and compute KPIs. More functionalities will be added in the future, such as analysis and visualization of the simulation results, surrogate models, sensitivity analysis, and optimization algorithms.

### Pre-requisites

- Install git (for Windows: https://git-scm.com/downloads/win)
- Install Anaconda (or Miniconda which is lighter): https://docs.anaconda.com/distro-or-miniconda/
- Use VSCode as code editor (not mandatory, but recommended): https://code.visualstudio.com/download
- Install the Python and Jupyter extensions on VSCode

### Install the package
