Data-driven personal thermal comfort prediction: A literature review

Individual thermal comfort prediction using classification tree model based on physiological parameters and thermal history in winter

(2021) Yuxin Wu et al.   Building Simulation

A hybrid physics-based/data-driven model for personalized dynamic thermal comfort in ordinary office environment

(2021) Yadong Zhou et al.   ENERGY AND BUILDINGS

A comparison of Gaussian processes and neural networks for computer model emulation and calibration

(2021) Samuel Myren et al.   Statistical Analysis and Data Mining

Space cooling energy usage prediction based on utility data for residential buildings using machine learning methods

(2021) Yanxiao Feng et al.   APPLIED ENERGY

Smart monitoring technologies for personal thermal comfort: A review

(2021) Ana Čulić et al.   Journal of Cleaner Production

Wearable Devices for Environmental Monitoring in the Built Environment: A Systematic Review

(2021) Francesco Salamone et al.   SENSORS

Optimal HVAC System Operation Using Online Learning of Interconnected Neural Networks

(2021) Ye-Eun Jang et al.   IEEE Transactions on Smart Grid

Using electroencephalogram to continuously discriminate feelings of personal thermal comfort between uncomfortably hot and comfortable environments

(2020) Meng Wu et al.   INDOOR AIR

Machine learning algorithms applied to a prediction of personal overall thermal comfort using skin temperatures and occupants' heating behavior

(2020) Katarina Katić et al.   APPLIED ERGONOMICS

Energy saving potentials of integrating personal thermal comfort models for control of building systems: Comprehensive quantification through combinatorial consideration of influential parameters

(2020) Wooyoung Jung et al.   APPLIED ENERGY

Learning from Longitudinal Data in Electronic Health Record and Genetic Data to Improve Cardiovascular Event Prediction

(2019) Juan Zhao et al.   Scientific Reports

Machine Learning for Smart Building Applications

(2019) Djamel Djenouri et al.   ACM COMPUTING SURVEYS

Quantification of personal thermal comfort with localized airflow system based on sensitivity analysis and classification tree model

(2019) Chenqiu Du et al.   ENERGY AND BUILDINGS

Personal thermal comfort models with wearable sensors

(2019) Shichao Liu et al.   BUILDING AND ENVIRONMENT

Towards Online Personalized-Monitoring of Human Thermal Sensation Using Machine Learning Approach

(2019) Ali Youssef et al.   Applied Sciences-Basel

Robust non-intrusive interpretation of occupant thermal comfort in built environments with low-cost networked thermal cameras

(2019) Da Li et al.   APPLIED ENERGY

TrojanSense, a participatory sensing framework for occupant-aware management of thermal comfort in campus buildings

(2019) Kyle Konis et al.   BUILDING AND ENVIRONMENT

Next-generation, personalised, model-based critical care medicine: a state-of-the art review of in silico virtual patient models, methods, and cohorts, and how to validation them

(2018) J. Geoffrey Chase et al.   Biomedical Engineering Online

Personal comfort models – A new paradigm in thermal comfort for occupant-centric environmental control

(2018) Joyce Kim et al.   BUILDING AND ENVIRONMENT

Development of the ASHRAE Global Thermal Comfort Database II

(2018) Veronika Földváry Ličina et al.   BUILDING AND ENVIRONMENT

Personal comfort models: Predicting individuals' thermal preference using occupant heating and cooling behavior and machine learning

(2018) Joyce Kim et al.   BUILDING AND ENVIRONMENT

Individual difference in thermal comfort: A literature review

(2018) Zhe Wang et al.   BUILDING AND ENVIRONMENT

Neural network based predictive control of personalized heating systems

(2018) Katarina Katić et al.   ENERGY AND BUILDINGS

Toward Energy-Awareness Smart Building: Discover the Fingerprint of Your Electrical Appliances

(2018) Meng Ma et al.   IEEE Transactions on Industrial Informatics

Deep Patient Similarity Learning for Personalized Healthcare

(2018) Qiuling Suo et al.   IEEE TRANSACTIONS ON NANOBIOSCIENCE

A review of human thermal comfort experiments in controlled and semi-controlled environments

(2018) Stijn Van Craenendonck et al.   RENEWABLE & SUSTAINABLE ENERGY REVIEWS

Integrated Method for Personal Thermal Comfort Assessment and Optimization through Users’ Feedback, IoT and Machine Learning: A Case Study †

(2018) Francesco Salamone et al.   SENSORS

Precision dosing in clinical medicine: present and future

(2018) Thomas M. Polasek et al.   Expert Review of Clinical Pharmacology

Non-intrusive interpretation of human thermal comfort through analysis of facial infrared thermography

(2018) Da Li et al.   ENERGY AND BUILDINGS

Inference of thermal preference profiles for personalized thermal environments with actual building occupants

(2018) Seungjae Lee et al.   BUILDING AND ENVIRONMENT

Feature selection and Gaussian Process regression for personalized thermal comfort prediction

(2018) Janine Guenther et al.   BUILDING AND ENVIRONMENT

Sweating Rate and Sweat Sodium Concentration in Athletes: A Review of Methodology and Intra/Interindividual Variability

(2017) Lindsay B. Baker   SPORTS MEDICINE

Heart rate variability as a predictive biomarker of thermal comfort

(2017) Kizito N. Nkurikiyeyezu et al.   Journal of Ambient Intelligence and Humanized Computing

Modelling personal thermal sensations using C-Support Vector Classification (C-SVC) algorithm

(2016) Lai Jiang et al.   BUILDING AND ENVIRONMENT

Challenging the assumptions for thermal sensation scales

(2016) Marcel Schweiker et al.   BUILDING RESEARCH AND INFORMATION

Global vs. local models for cross-project defect prediction

(2016) Steffen Herbold et al.   EMPIRICAL SOFTWARE ENGINEERING

Efficient k NN classification algorithm for big data

(2016) Zhenyun Deng et al.   NEUROCOMPUTING

A physiome interoperability roadmap for personalized drug development

(2016) Simon Thomas et al.   Interface Focus

An online learning approach for quantifying personalized thermal comfort via adaptive stochastic modeling

(2015) Ali Ghahramani et al.   BUILDING AND ENVIRONMENT

Personalized Nutrition by Prediction of Glycemic Responses

(2015) David Zeevi et al.   CELL

A review of human thermal comfort in the built environment

(2015) Ricardo Forgiarini Rupp et al.   ENERGY AND BUILDINGS

Annual Research Review: Building a science of personalized intervention for youth mental health

(2015) Mei Yi Ng et al.   JOURNAL OF CHILD PSYCHOLOGY AND PSYCHIATRY

Personalized conditioning and its impact on thermal comfort and energy performance – A review

(2014) Michal Veselý et al.   RENEWABLE & SUSTAINABLE ENERGY REVIEWS

Cancer-specific defects in DNA repair pathways as targets for personalized therapeutic approaches

(2014) Felix Dietlein et al.   TRENDS IN GENETICS

A data-driven method to describe the personalized dynamic thermal comfort in ordinary office environment: From model to application

(2013) Qianchuan Zhao et al.   BUILDING AND ENVIRONMENT

Preliminary study of learning individual thermal complaint behavior using one-class classifier for indoor environment control

(2013) Qianchuan Zhao et al.   BUILDING AND ENVIRONMENT

Feasibility analysis of using humidex as an indoor thermal comfort predictor

(2013) Rajib Rana et al.   ENERGY AND BUILDINGS

Bringing Big Data to Personalized Healthcare: A Patient-Centered Framework

(2013) Nitesh V. Chawla et al.   JOURNAL OF GENERAL INTERNAL MEDICINE

A personalized measure of thermal comfort for building controls

(2010) David Daum et al.   BUILDING AND ENVIRONMENT

The Path to Personalized Medicine

(2010) Margaret A. Hamburg et al.   NEW ENGLAND JOURNAL OF MEDICINE

Thermal comfort: A review paper

(2010) Noël Djongyang et al.   RENEWABLE & SUSTAINABLE ENERGY REVIEWS

Application of statistical power analysis – How to determine the right sample size in human health, comfort and productivity research

(2009) Li Lan et al.   BUILDING AND ENVIRONMENT