A review on occupancy prediction through machine learning for enhancing energy efficiency, air quality and thermal comfort in the built environment

Renewable and sustainable energy challenges to face for the achievement of Sustainable Development Goals

(2022) Benedetto Nastasi et al.   RENEWABLE & SUSTAINABLE ENERGY REVIEWS

A three-year dataset supporting research on building energy management and occupancy analytics

(2022) Na Luo et al.   Scientific Data

Occupancy data at different spatial resolutions: Building energy performance and model calibration

(2021) Adrian Chong et al.   APPLIED ENERGY

Sensor Fusion and Convolutional Neural Networks for Indoor Occupancy Prediction Using Multiple Low-Cost Low-Resolution Heat Sensor Data

(2021) Simon Arvidsson et al.   SENSORS

Accurate Prediction of Hourly Energy Consumption in a Residential Building Based on the Occupancy Rate Using Machine Learning Approaches

(2021) Le Hoai My Truong et al.   Applied Sciences-Basel

Data driven indoor air quality prediction in educational facilities based on IoT network

(2021) Lavinia Chiara Tagliabue et al.   ENERGY AND BUILDINGS

State of the art review on model predictive control (MPC) in Heating Ventilation and Air-conditioning (HVAC) field

(2021) Ye Yao et al.   BUILDING AND ENVIRONMENT

Occupancy-based HVAC control systems in buildings: A state-of-the-art review

(2021) Mohammad Esrafilian-Najafabadi et al.   BUILDING AND ENVIRONMENT

Review of developments in whole-building statistical energy consumption models for commercial buildings

(2021) Hongxiang Fu et al.   RENEWABLE & SUSTAINABLE ENERGY REVIEWS

Real-time monitoring of occupancy activities and window opening within buildings using an integrated deep learning-based approach for reducing energy demand

(2021) Paige Wenbin Tien et al.   APPLIED ENERGY

HVAC energy savings, thermal comfort and air quality for occupant-centric control through a side-by-side experimental study

(2021) Meng Kong et al.   APPLIED ENERGY

Learning-based CO2 concentration prediction: Application to indoor air quality control using demand-controlled ventilation

(2021) Saman Taheri et al.   BUILDING AND ENVIRONMENT

Demand Forecasting for a Mixed-Use Building Using Agent-Schedule Information with a Data-Driven Model

(2020) Zihao Li et al.   Energies

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

Real-time dynamic estimation of occupancy load and an air-conditioning predictive control method based on image information fusion

(2020) Yue-bo Meng et al.   BUILDING AND ENVIRONMENT

State-of-the-art on research and applications of machine learning in the building life cycle

(2020) Tianzhen Hong et al.   ENERGY AND BUILDINGS

LSTM-based indoor air temperature prediction framework for HVAC systems in smart buildings

(2020) Fatma Mtibaa et al.   NEURAL COMPUTING & APPLICATIONS

Nonparametric user activity modelling and prediction

(2020) Yannick De Bock et al.   USER MODELING AND USER-ADAPTED INTERACTION

Extracting typical occupancy schedules from social media (TOSSM) and its integration with building energy modeling

(2020) Xing Lu et al.   Building Simulation

HEAT - Human Embodied Autonomous Thermostat

(2020) Da Li et al.   BUILDING AND ENVIRONMENT

An approach for building occupancy modelling considering the urban context

(2020) Huiqiao Hou et al.   BUILDING AND ENVIRONMENT

Assessing occupants’ personal attributes in relation to human perception of environmental comfort: Measurement procedure and data analysis

(2020) Ilaria Pigliautile et al.   BUILDING AND ENVIRONMENT

Using machine learning algorithms to predict occupants’ thermal comfort in naturally ventilated residential buildings

(2020) Qian Chai et al.   ENERGY AND BUILDINGS

Review on occupant-centric thermal comfort sensing, predicting, and controlling

(2020) Jiaqing Xie et al.   ENERGY AND BUILDINGS

Office Building Tenants’ Electricity Use Model for Building Performance Simulations

(2020) Andrea Ferrantelli et al.   Energies

Data-driven predictive models for residential building energy use based on the segregation of heating and cooling days

(2020) Ehsan Kamel et al.   ENERGY

Forecasting office indoor CO2 concentration using machine learning with a one-year dataset

(2020) Johanna Kallio et al.   BUILDING AND ENVIRONMENT

An occupancy prediction model for campus buildings based on the diversity of occupancy patterns

(2020) Yan Ding et al.   Sustainable Cities and Society

Data driven occupancy information for energy simulation and energy use assessment in residential buildings

(2020) Karthik Panchabikesan et al.   ENERGY

Prediction Model Based on an Artificial Neural Network for User-Based Building Energy Consumption in South Korea

(2019) Seunghui Lee et al.   Energies

Modelling Influential Factors of Consumption in Buildings Connected to District Heating Systems

(2019) Danica Maljkovic   Energies

Prediction of occupancy level and energy consumption in office building using blind system identification and neural networks

(2019) Yixuan Wei et al.   APPLIED ENERGY

Occupancy prediction model for open-plan offices using real-time location system and inhomogeneous Markov chain

(2019) Shide Salimi et al.   BUILDING AND ENVIRONMENT

Analysis of the accuracy on PMV – PPD model using the ASHRAE Global Thermal Comfort Database II

(2019) Toby Cheung et al.   BUILDING AND ENVIRONMENT

Occupancy sensing in buildings: A review of data analytics approaches

(2019) Homagni Saha et al.   ENERGY AND BUILDINGS

Comparative study of data driven methods in building electricity use prediction

(2019) Aaron Zeng et al.   ENERGY AND BUILDINGS

Machine learning and statistical models for predicting indoor air quality

(2019) Wenjuan Wei et al.   INDOOR AIR

Defocused camera calibration with a conventional periodic target based on Fourier transform

(2019) Yuwei Wang et al.   OPTICS LETTERS

Comparison of machine learning models for occupancy prediction in residential buildings using connected thermostat data

(2019) Brent Huchuk et al.   BUILDING AND ENVIRONMENT

Cross-source sensing data fusion for building occupancy prediction with adaptive lasso feature filtering

(2019) Wei Wang et al.   BUILDING AND ENVIRONMENT

Real-time occupancy prediction in a large exhibition hall using deep learning approach

(2019) Seonghyeon Kim et al.   ENERGY AND BUILDINGS

A critical review of field implementations of occupant-centric building controls

(2019) June Young Park et al.   BUILDING AND ENVIRONMENT

Novel Proposal for Prediction of CO2 Course and Occupancy Recognition in Intelligent Buildings within IoT

(2019) Jan Vanus et al.   Energies

Comprehensive smart home energy management system using mixed-integer quadratic-programming

(2018) M. Killian et al.   APPLIED ENERGY

Occupancy prediction through machine learning and data fusion of environmental sensing and Wi-Fi sensing in buildings

(2018) Wei Wang et al.   AUTOMATION IN CONSTRUCTION

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

(2018) Joyce Kim et al.   BUILDING AND ENVIRONMENT

Occupancy prediction through Markov based feedback recurrent neural network (M-FRNN) algorithm with WiFi probe technology

(2018) Wei Wang et al.   BUILDING AND ENVIRONMENT

Development of the ASHRAE Global Thermal Comfort Database II

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

ALOS: Automatic learning of an occupancy schedule based on a new prediction model for a smart heating management system

(2018) Amel Nacer et al.   BUILDING AND ENVIRONMENT

Individual difference in thermal comfort: A literature review

(2018) Zhe Wang et al.   BUILDING AND ENVIRONMENT

Simulating occupants' impact on building energy performance at different spatial scales

(2018) Sara Gilani et al.   BUILDING AND ENVIRONMENT

A comprehensive overview on the data driven and large scale based approaches for forecasting of building energy demand: A review

(2018) Tanveer Ahmad et al.   ENERGY AND BUILDINGS

Building occupancy estimation and detection: A review

(2018) Zhenghua Chen et al.   ENERGY AND BUILDINGS

A novel ensemble learning approach to support building energy use prediction

(2018) Zeyu Wang et al.   ENERGY AND BUILDINGS

Short term predictions of occupancy in commercial buildings—Performance analysis for stochastic models and machine learning approaches

(2018) Zhaoxuan Li et al.   ENERGY AND BUILDINGS

Using an ensemble machine learning methodology-Bagging to predict occupants’ thermal comfort in buildings

(2018) Zhibin Wu et al.   ENERGY AND BUILDINGS

A review of data-driven approaches for prediction and classification of building energy consumption

(2018) Yixuan Wei et al.   RENEWABLE & SUSTAINABLE ENERGY REVIEWS

RUP: Large Room Utilisation Prediction with carbon dioxide sensor

(2018) Irvan B. Arief-Ang et al.   Pervasive and Mobile Computing

A flexible control strategy for energy and comfort aware HVAC in large buildings

(2018) K.E. Mary Reena et al.   BUILDING AND ENVIRONMENT

How subjective and non-physical parameters affect occupants’ environmental comfort perception

(2018) Veronica Lucia Castaldo et al.   ENERGY AND BUILDINGS

Sequential prediction of quantitative health risk assessment for the fine particulate matter in an underground facility using deep recurrent neural networks

(2018) Jorge Loy-Benitez et al.   ECOTOXICOLOGY AND ENVIRONMENTAL SAFETY

Linking energy-cyber-physical systems with occupancy prediction and interpretation through WiFi probe-based ensemble classification

(2018) Wei Wang et al.   APPLIED ENERGY

IEA EBC annex 53: Total energy use in buildings—Analysis and evaluation methods

(2017) Hiroshi Yoshino et al.   ENERGY AND BUILDINGS

Automatic HVAC control with real-time occupancy recognition and simulation-guided model predictive control in low-cost embedded system

(2017) Muhammad Aftab et al.   ENERGY AND BUILDINGS

A review of comfort, health, and energy use: Understanding daily energy use and wellbeing for the development of a new approach to study comfort

(2017) Marco A. Ortiz et al.   ENERGY AND BUILDINGS

Modelling hand skin temperature in relation to body composition

(2017) Katarina Katić et al.   JOURNAL OF THERMAL BIOLOGY

Performance comparison of occupancy count estimation and prediction with common versus dedicated sensors for building model predictive control

(2017) Fisayo Caleb Sangogboye et al.   Building Simulation

Building energy performance prediction using neural networks

(2017) Andreas Chari et al.   Energy Efficiency

Electrical load forecasting models: A critical systematic review

(2017) Corentin Kuster et al.   Sustainable Cities and Society

Development of an occupancy prediction model using indoor environmental data based on machine learning techniques

(2016) Seung Ho Ryu et al.   BUILDING AND ENVIRONMENT

Building energy-consumption status worldwide and the state-of-the-art technologies for zero-energy buildings during the past decade

(2016) Xiaodong Cao et al.   ENERGY AND BUILDINGS

Short-term load forecasting for non-residential buildings contrasting artificial occupancy attributes

(2016) Joaquim Massana et al.   ENERGY AND BUILDINGS

Experimental study of occupancy-based control of HVAC zones

(2015) Siddharth Goyal et al.   APPLIED ENERGY

Ensemble of various neural networks for prediction of heating energy consumption

(2015) Radiša Ž. Jovanović et al.   ENERGY AND BUILDINGS

Occupancy schedules learning process through a data mining framework

(2015) Simona D’Oca et al.   ENERGY AND BUILDINGS

Deep learning

(2015) Yann LeCun et al.   NATURE

Using probabilistic sampling-based sensitivity analyses for indoor air quality modelling

(2014) Payel Das et al.   BUILDING AND ENVIRONMENT

Stochastic modeling of overtime occupancy and its application in building energy simulation and calibration

(2014) Kaiyu Sun et al.   BUILDING AND ENVIRONMENT

The coupled effects of personalized occupancy profile based HVAC schedules and room reassignment on building energy use

(2014) Zheng Yang et al.   ENERGY AND BUILDINGS

A review of methods to match building energy simulation models to measured data

(2014) Daniel Coakley et al.   RENEWABLE & SUSTAINABLE ENERGY REVIEWS

Demonstrating the Impact of the Occupant on Building Performance

(2013) Caroline M. Clevenger et al.   JOURNAL OF COMPUTING IN CIVIL ENGINEERING

State of the art in building modelling and energy performances prediction: A review

(2013) Aurélie Foucquier et al.   RENEWABLE & SUSTAINABLE ENERGY REVIEWS

CFD simulation research on residential indoor air quality

(2013) Li Yang et al.   SCIENCE OF THE TOTAL ENVIRONMENT

Optimization of Predicted Mean Vote index within Model Predictive Control framework: Computationally tractable solution

(2012) Jiří Cigler et al.   ENERGY AND BUILDINGS

Energy intelligent buildings based on user activity: A survey

(2012) Tuan Anh Nguyen et al.   ENERGY AND BUILDINGS

A review on the prediction of building energy consumption

(2012) Hai-xiang Zhao et al.   RENEWABLE & SUSTAINABLE ENERGY REVIEWS

Performance of ANN-based predictive and adaptive thermal-control methods for disturbances in and around residential buildings

(2011) Jin Woo Moon   BUILDING AND ENVIRONMENT

A systematic procedure to study the influence of occupant behavior on building energy consumption

(2011) Zhun Yu et al.   ENERGY AND BUILDINGS

In-situ implementation and validation of a CO2-based adaptive demand-controlled ventilation strategy in a multi-zone office building

(2010) Zhongwei Sun et al.   BUILDING AND ENVIRONMENT

Localized air-conditioning with occupancy control in an open office

(2010) L. James Lo et al.   ENERGY AND BUILDINGS

Methodology to estimate building energy consumption using EnergyPlus Benchmark Models

(2010) Nelson Fumo et al.   ENERGY AND BUILDINGS

Review of solutions to global warming, air pollution, and energy security

(2008) Mark Z. Jacobson   Energy & Environmental Science