Thermal Comfort sensor for HA (absolute humidity, heat index, dew point, thermal perception)

Package to calculate several thermal comfort indices (e.g. PMV, PPD, SET, adaptive) and convert physical variables.

CBE Thermal Comfort Tool for ASHRAE-55

thermofeel is a library to calculate human thermal comfort indexes

The study leverages street view images to understand urban-scale streetscape thermal comfort.

Thermal Comfort custom icons for Home Assistant to accompany the MDI icons

Implementation of Research paper, Deep reinforcement learning based framework for energy optimization and thermal comfort control in smart buildings

Adaptive thermal comfort blueprints for Home Assistant implementing ASHRAE 55 adaptive model standard with SmartIR integration and energy efficiency optimization.

🐞 :tired_face: :smile: :sweat: Ladybug extension for thermal comfort

The code for commonly used outdoor thermal comfort models.

Turn indoor climate data into real thermal comfort insights (PMV, SET, PPD)

A tool to evaluate thermal comfort in winter months. Use the web version of the tool here: http://payette.github.io/Thermal-Comfort-Tool/

code for Build2Vec 1.0 reproducibility

These datasets are collected for the GBIC project to conduct research about indoor human thermal comfort. The GBIC research project proposes to develop online thermal comfort models via a deep-learning approach and apply them to behavioral studies to drive “greener, smarter and healthier buildings” in the tropics (e.g., Singapore). Leveraging privacy-preserving data analytics over information acquired from smartphone crowdsourcing and in-situ wearables measurements, the project plans to develop and validate an integrative, economical and scalable thermal comfort management system.

This work entails the usage of a novel hybrid deep transfer learning method for thermal comfort prediction in buildings with no or very little labelled data

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

Master Thesis: "Modelling building thermal systems to investigate energy and comfort dependent control strategies". Model of HiLo's thermal systems in EMPA's NEST building. Master Thesis of a coupled simulation between TRNSYS, CONTAM and MATLAB.

University of California,Berkeley

A Node Red node to calculate the thermal comfort level of an environment using ASHRAE Standard 55

Majority of energy consumption in buildings is due to air-conditioning, because of hot and humid weather. Besides attaining a healthy indoor environment, a prior knowledge about the occupant’s thermal comfort can be beneficial in reducing energy consumption, as it can save energy which is otherwise spent in extra cooling. This project is a data-driven approach to predict individual thermal comfort using environmental and human factors as input.

Official repository for Dataset: Longitudinal personal thermal comfort preference data in the wild

This repository is the official implementation of Balancing thermal comfort datasets: We GAN, but should we?

JavaScript package to calculate several thermal comfort indices (e.g., PMV, SET, two-node model, PHS)

No description available

HASS integration to calculate the MRT and T_op of a room for a better look at your thermal comfort.

Repository for the R-package comf: Functions for Thermal Comfort Research

This plugin evaluates the cooling effect of a park and its impact on buildings energy and thermal comfort

This repository is the official implementation of Cohort comfort models - Using occupants’ similarity to predict personal thermal preference with less data

Calculation of the PMV and PPD indices and local thermal comfort criteria (ISO 7730:2006)

Model for classification of thermal comfort states based on multi-modal input data.