Some functions for thermal comfort calculations.

This is the repository for the masters thesis titled "Interactive Reinforcement Learning for Adaptive Thermal Comfort"

an online web application that enables you simulate solar pre-cooling for a range of exsiting buildings in Australian building stock.

Python implementation of Universal Thermal Climate Index (UTCI) - accurate outdoor thermal comfort assessment based on meteorological data

This repository gives you access to the CLIMATEREADY survey dataset containing thermal comfort votes during the 2021 and 2022 heatwave periods in Pamplona, Spain, as well as other relevant parameters self-reported by surveyees (e.g. occupant characteristics and behaviour, key building/dwelling characteristics, sleep problems, heat-related symptoms)

Put scanned hand back images into DenseNet201 to predict the indoor temperature [with indoor factor K[add at the beginning / end] / without factor K].

A Python3 module to calculate many different thermal comfort indicies

COFFEE is a lightweight, flexible, and extensible SwiftUI framework to build customizable feedback applications, particularly for thermal comfort and IEQ research.

Urban block renewal maximizing outdoor thermal comfort using deep reinforcement learning methods.

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).

Firmware for SAMBA v2 IEQ monitoring system

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)

Software implementing ergonomics algorithms (strain index, lifting index, metabolic rate, etc.)

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"

A novel method to incorporate existing policy (Rule-based control) with Reinforcement Learning.

Algorithms for Thermal Comfort Prediction using PMV and Adaptive Method.