Hello! Welcome to the world of uncertainty and sensitivity analysis methods. This repository contains Python scripts and Python-based Jupyter notebooks to accompany Parag Rastogi's seminar and workshop at TU Delft, The Netherlands, on 04 June 2018, as part of the SimAud 2018 conference.
In this repo, you will find simple examples of uncertainty propagation using Monte Carlo analysis of a simple regression model of a building monthly energy need published in Clarke [1].
Parag is the sole author of these scripts. The scripts are meant to be used for instructional use only -- the author does not accept any liability for their use and misuse for other purposes. This repository carries the the GPLv3 license (see the LICENSE file for details).
Go to the wiki for instructions on how to get started.
Happy uncertainty analysing!
[1] : Clarke, J. A. 1985. Energy Simulation in Building Design. Bristol [Avon]; Boston: A. Hilger.