PyCHAM: CHemistry with Aerosol Microphysics in Python box model for Windows, Linux and Mac
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Updated
Dec 19, 2025 - Python
PyCHAM: CHemistry with Aerosol Microphysics in Python box model for Windows, Linux and Mac
An easy-to-use Python library and Grasshopper toolbox for indoor CO2 CFD simulation
Indoor Air Quality Dataset with Activities of Daily Living in Low to Middle-income Communities
A collection of CircuitPython helpers used for the calculation of PM2.5 and CO2 air quality levels.
An EnergyPlus version 8 based Ventilation Controls Virtual Test Bed for accelerated modelling, testing and comparing of single and mixed-mode ventilation systems and their control strategies
Indoor air quality data acquisition node using ESPHome
HE1040 Electronics design, project course. KTH Royal Institute of Technology.
R package to process and store data for the IEA EBC - Annex 86 - Energy Efficient Indoor Air Quality Management in Residential Buildings project. For details visit https://annex86.iea-ebc.org/. Documentation and examples available on https://iea-ebc-annex86.github.io/annex/
Building a classification to assess neighbourhood indoor air quality vulnerabilities
An app to show indoor co2 levels and air quality
Multi-Parameter High Frequency Indoor Microclimate Data from University Classrooms: processing script
Details on the whole-house air quality monitoring system used during the Indoor Air Quality & Climate Change study (2015-2018)
ML prediction of HVAC runtime status using a set of features including temperature, relative humidity, and their first and second derivatives
The application classifies the minutes in which the user has cooked. The dataset contains one record per minute for approximately one month.
Sharing all the data pipelines and processing codes, statistical modellings, descriptive statistics, plot visualizations, and machine learning from Mahdavi & Siegel (2021) (Indoor Air) Project Miestone: 2017 - 2020 Full-length article: https://onlinelibrary.wiley.com/doi/abs/10.1111/ina.12782
Code and Datasets for papers in the field of Deep Learning-Based Data Collection
Collection of scripts to analyze the Indoor Air Quality (IAQ) dataset produced in project IEA EBC Annex 86 (ST2)
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