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paragrastogi edited this page Apr 14, 2018 · 4 revisions

Welcome to the SimAud_2018_Uncertainty wiki!

Hello! Welcome to the world of uncertainty and sensitivity analysis methods. This tutorial contains simple examples of uncertainty propagation using Monte Carlo analysis and a simple linear model of a building's thermal characteristics [1].

This repository contains Python scripts and Python-based Jupyter notebooks to accompany Parag Rastogi's seminar and workshop during SimAud 2018, held in TU Delft, Delft, The Netherlands, on 04 june 2018.

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 repo carries the the GPLv3 license (see the LICENSE file for details).

  1. Getting started
  2. Uncertainty and Sensitivity Analysis: background

Footnotes and References

[1]: Clarke, J. A. 1985. Energy Simulation in Building Design. Bristol [Avon]; Boston: A. Hilger.

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