This is the repository for the masters thesis titled "Interactive Reinforcement Learning for Adaptive Thermal Comfort"
Python implementation of Universal Thermal Climate Index (UTCI) - accurate outdoor thermal comfort assessment based on meteorological data
Library for the project "Thermal comfort: Smart building monitoring platform and visual interface" to install a new platform
Put scanned hand back images into DenseNet201 to predict the indoor temperature [with indoor factor K[add at the beginning / end] / without factor K].
COFFEE is a lightweight, flexible, and extensible SwiftUI framework to build customizable feedback applications, particularly for thermal comfort and IEQ research.
Thermal Comfort sensor for HA (absolute humidity, heat index, dew point, thermal perception, simmer index, simmer zone)
Thermal physiology analyses (SL2201): mixed-effects models, climate/PMV plots, subjective metrics. Data via Zenodo (10.5281/zenodo.16898458).
This repository hosts the code for evaluating TAIL rating scheme of an indoor space from measured data.
A suite of simplified climate analysis and urban comfort tools built on Ladybug Tools, providing an intuitive interface for complex environmental studies.
Thermal Comfort sensor for HA (absolute humidity, heat index, dew point, thermal perception)
an online web application that enables you simulate solar pre-cooling for a range of exsiting buildings in Australian building stock.
Firmware for SAMBA v2 IEQ monitoring system
This is a collection of google Colab notebooks that I created while following edx.com's "Data Science for Construction, Architecture and Engineering" course by Clayton Miller.
Source code for the project "Thermal comfort: Smart building monitoring platform and visual interface"
Algorithms for Thermal Comfort Prediction using PMV and Adaptive Method.
An interface to display questions via browsers stored in a database managed by survey_admin.
A Python3 module to calculate many different thermal comfort indicies
Software implementing ergonomics algorithms (strain index, lifting index, metabolic rate, etc.)
A novel method to incorporate existing policy (Rule-based control) with Reinforcement Learning.
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