Thermal Comfort sensor for HA (absolute humidity, heat index, dew point, thermal perception)
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Updated
Jun 26, 2024 - Python
Thermal Comfort sensor for HA (absolute humidity, heat index, dew point, thermal perception)
CBE Thermal Comfort Tool for ASHRAE-55
Implementation of the Humans-as-a-Sensor for Buildings paper.
Transforms PMV-based into adaptive setpoint temperature EnergyPlus building energy models
Library for the project "Thermal comfort: Smart building monitoring platform and visual interface" to install a new platform
An interface to display questions via browsers stored in a database managed by survey_admin.
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 pr…
Source code for the project "Thermal comfort: Smart building monitoring platform and visual interface"
Algorithms for Thermal Comfort Prediction using PMV and Adaptive Method.
JavaScript package to calculate several thermal comfort indices (e.g., PMV, SET, two-node model, PHS)
Urban block renewal maximizing outdoor thermal comfort using deep reinforcement learning methods.
Agent based modelling of LLMs power actors for thermal comfort
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.
an online web application that enables you simulate solar pre-cooling for a range of exsiting buildings in Australian building stock.
Thermal Comfort sensor for HA (absolute humidity, heat index, dew point, thermal perception, simmer index, simmer zone)
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)
A novel method to incorporate existing policy (Rule-based control) with Reinforcement Learning.
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