Access the full text.
Sign up today, get DeepDyve free for 14 days.
Sherin Abraham, Xinrong Li (2014)
A Cost-effective Wireless Sensor Network System for Indoor Air Quality Monitoring Applications
(2019)
Smart building system using IoT
Zahra Fard, Zahra Zomorodian, Sepideh Korsavi (2021)
Application of Machine Learning in Thermal Comfort Studies: A Review of Methods, Performance and ChallengesEnergy and Buildings
Meihuang Wang, W. Yeh, T. Chu, Xianyong Zhang, Chia-Ling Huang, Jun Yang (2018)
Solving Multi-Objective Fuzzy Optimization in Wireless Smart Sensor Networks under Uncertainty Using a Hybrid of IFR and SSO AlgorithmEnergies
(2021)
Buildings A source of enormous untapped efficiency potential
I. Kosovic, Toni Mastelić, D. Ivanković (2020)
Using Artificial Intelligence on environmental data from Internet of Things for estimating solar radiation: Comprehensive analysisJournal of Cleaner Production, 266
Sama Aghniaey, T. Lawrence, J. Mohammadpour, Wenzhan Song, R. Watson, Marie-Claude Boudreau (2018)
Optimizing thermal comfort considerations with electrical demand response program implementationBuilding Services Engineering Research & Technology, 39
H. Rafsanjani, A. Ghahramani (2019)
Extracting occupants’ energy-use patterns from Wi-Fi networks in office buildingsJournal of Building Engineering
M. Karami, G. Mcmorrow, Liping Wang (2018)
Continuous monitoring of indoor environmental quality using an Arduino-based data acquisition systemJournal of Building Engineering
M. Schweiker, E. Ampatzi, Maedot Andargie, R. Andersen, Elie Azar, V. Barthelmes, C. Berger, L. Bourikas, S. Carlucci, G. Chinazzo, Lakshmi Edappilly, Matteo Favero, S. Gauthier, Anja Jamrozik, Michael Kane, A. Mahdavi, C. Piselli, A. Pisello, Astrid Roetzel, A. Rysanek, Kunind Sharma, Shengbo Zhang (2020)
Review of multi‐domain approaches to indoor environmental perception and behaviourBuilding and Environment
J. Park, M. Ouf, Burak Gunay, Yuzhen Peng, W. O’brien, M. Kjærgaard, Z. Nagy (2019)
A critical review of field implementations of occupant-centric building controlsBuilding and Environment
Raffaele Carli, G. Cavone, S. Othman, M. Dotoli (2020)
IoT Based Architecture for Model Predictive Control of HVAC Systems in Smart BuildingsSensors (Basel, Switzerland), 20
P. Agee, Xinghua Gao, Frederick Paige, A. McCoy, B. Kleiner (2020)
A human-centred approach to smart housingBuilding Research & Information, 49
Jonghoon Ahn, Soolyeon Cho (2017)
Anti-logic or common sense that can hinder machine’s energy performance: Energy and comfort control models based on artificial intelligence responding to abnormal indoor environmentsApplied Energy, 204
M. Ayoub (2020)
A review on machine learning algorithms to predict daylighting inside buildingsSolar Energy
Aurora González-Vidal, F. Jiménez, A. Gómez-Skarmeta (2019)
A methodology for energy multivariate time series forecasting in smart buildings based on feature selectionEnergy and Buildings
María Cano, Benito Miñaro, A. Gómez-Skarmeta, M. Zamora (2014)
How can We Tackle Energy Efficiency in IoT Based Smart Buildings?Sensors (Basel, Switzerland), 14
Simin Ahmadi-Karvigh, B. Becerik-Gerber, L. Soibelman (2019)
Intelligent adaptive automation: A framework for an activity-driven and user-centered building automationEnergy and Buildings
N. Aste, M. Manfren, Giorgia Marenzi (2017)
Building Automation and Control Systems and performance optimization: A framework for analysisRenewable & Sustainable Energy Reviews, 75
G. Coulby, A. Clear, O. Jones, A. Godfrey (2020)
A Scoping Review of Technological Approaches to Environmental MonitoringInternational Journal of Environmental Research and Public Health, 17
D. Newell, Richard Twohig, M. Duffy (2017)
Effect of energy management circuitry on optimum energy harvesting source configuration for small form-factor autonomous sensing applicationsJ. Ind. Inf. Integr., 11
A. Ruano, Shabnam Pesteh, S. Silva, H. Duarte, G. Mestre, P. Ferreira, H. Khosravani, R. Horta (2016)
The IMBPC HVAC system: A complete MBPC solution for existing HVAC systemsEnergy and Buildings, 120
Nees Eck, L. Waltman (2009)
Software survey: VOSviewer, a computer program for bibliometric mappingScientometrics, 84
Nicholas Clements, Rongpeng Zhang, Anja Jamrozik, C. Campanella, Brent Bauer (2019)
The Spatial and Temporal Variability of the Indoor Environmental Quality during Three Simulated Office Studies at a Living LabBuildings
F. Salamone, L. Danza, I. Meroni, M. Pollastro (2016)
A Low-Cost Environmental Monitoring System: How to Prevent Systematic Errors in the Design Phase through the Combined Use of Additive Manufacturing and Thermographic TechniquesSensors (Basel, Switzerland), 17
Katarina Katić, Rongling Li, W. Zeiler (2020)
Machine learning algorithms applied to a prediction of personal overall thermal comfort using skin temperatures and occupants' heating behavior.Applied ergonomics, 85
K. Jabłoński, Tomasz Grychowski (2017)
Fuzzy inference system for the assessment of indoor environmental quality in a roomIndoor and Built Environment, 27
Xingxing Zhang, Mengjie Han, Ross May, Xinru Wang, S. Pan, Da Yan, Yuan Jin (2020)
A novel reinforcement learning method for improving occupant comfort via window opening and closingSustainable Cities and Society
Saleem Aslam, N. Hasan, A. Shahid, Ju-wook Jang, Kyung-Geun Lee (2016)
Device Centric Throughput and QoS Optimization for IoTsin a Smart Building Using CRN-TechniquesSensors (Basel, Switzerland), 16
Herie Park, S. Rhee (2018)
IoT-Based Smart Building Environment Service for Occupants' Thermal ComfortJ. Sensors, 2018
Roberto Casado-Vara, Ángel Canal-Alonso, Á. Rey, F. Prieta, Javier Prieto (2019)
Smart Buildings IoT Networks Accuracy Evolution Prediction to Improve Their Reliability Using a Lotka–Volterra Ecosystem ModelSensors (Basel, Switzerland), 19
Joyce Kim, Yuxun Zhou, S. Schiavon, P. Raftery, G. Brager (2018)
Personal comfort models: Predicting individuals' thermal preference using occupant heating and cooling behavior and machine learningBuilding and Environment, 129
Q. Ain, Sohail Iqbal, S. Khan, A. Malik, Iftikhar Ahmad, N. Javaid (2018)
IoT Operating System Based Fuzzy Inference System for Home Energy Management System in Smart BuildingsSensors (Basel, Switzerland), 18
Ilaria Vigna, R. Pernetti, G. Pernigotto, A. Gasparella (2020)
Analysis of the Building Smart Readiness Indicator Calculation: A Comparative Case-Study with Two Panels of ExpertsEnergies
Roberto Casado-Vara, Z. Vale, Javier Prieto, J. Corchado (2018)
Fault-Tolerant Temperature Control Algorithm for IoT Networks in Smart BuildingsEnergies
Oscar Uribe, Juan Martin, M. García-Alegre, Matilde Santos, D. Guinea (2015)
Smart Building: Decision Making Architecture for Thermal Energy ManagementSensors (Basel, Switzerland), 15
C. Bay, Rohit Chintala, Bryan Rasmussen (2020)
Steady-State Predictive Optimal Control of Integrated Building Energy Systems Using a Mixed Economic and Occupant Comfort Focused Objective FunctionEnergies
Mayank Sharma, T. Maity (2018)
Low Cost Low Power Smart Helmet for Real-Time Remote Underground Mine Environment MonitoringWireless Personal Communications, 102
María Cano, Luc Dufour, A. Gómez-Skarmeta, A. Jara, D. Genoud, B. Ladevie, J. Bezian (2016)
Big data: the key to energy efficiency in smart buildingsSoft Computing, 20
Katarína Gécová, D. Vala (2018)
Human influence on the microclimate of buildingsIFAC-PapersOnLine, 51
Shiyu Yang, M. Wan, Wanyu Chen, B. Ng, S. Dubey (2020)
Model predictive control with adaptive machine-learning-based model for building energy efficiency and comfort optimizationApplied Energy, 271
Y. Horr, M. Arif, M. Katafygiotou, Ahmed Mazroei, A. Kaushik, Esam Elsarrag (2016)
Impact of indoor environmental quality on occupant well-being and comfort: A review of the literatureInternational journal of sustainable built environment, 5
W. Fisk, D. Black, G. Brunner (2011)
Benefits and costs of improved IEQ in U.S. offices.Indoor air, 21 5
C. Panteli, A. Kylili, P. Fokaides (2020)
Building information modelling applications in smart buildings: From design to commissioning and beyond A critical reviewJournal of Cleaner Production, 265
C. Papatsimpa, J. Linnartz (2018)
Propagating sensor uncertainty to better infer office occupancy in smart building controlEnergy and Buildings
A. Motamed, Laurent Deschamps, J. Scartezzini (2017)
On-site monitoring and subjective comfort assessment of a sun shadings and electric lighting controller based on novel High Dynamic Range vision sensorsEnergy and Buildings, 149
Abdul Shah, H. Nasir, M. Fayaz, Adidah Lajis, Asadullah Shah (2019)
A Review on Energy Consumption Optimization Techniques in IoT Based Smart Building EnvironmentsInf., 10
B. Ramezani, M. Silva, N. Simões (2021)
Application of Smart Readiness Indicator for Mediterranean buildings in retrofitting actionsEnergy and Buildings
Xilei Dai, Junjie Liu, Xin Zhang (2020)
A review of studies applying machine learning models to predict occupancy and window-opening behaviours in smart buildingsEnergy and Buildings, 223
Lauren Ferguson, Jonathon Taylor, M. Davies, C. Shrubsole, P. Symonds, S. Dimitroulopoulou (2020)
Exposure to indoor air pollution across socio-economic groups in high-income countries: A scoping review of the literature and a modelling methodologyEnvironment International, 143
Georgios Lymperopoulos, Petros Ioannou (2020)
Building temperature regulation in a multi-zone HVAC system using distributed adaptive controlEnergy and Buildings, 215
D. Petroșanu, G. Căruţaşu, N. Căruțașu, Alexandru Pîrjan (2019)
A Review of the Recent Developments in Integrating Machine Learning Models with Sensor Devices in the Smart Buildings Sector with a View to Attaining Enhanced Sensing, Energy Efficiency, and Optimal Building ManagementEnergies
Seungjae Lee, P. Karava (2020)
Towards smart buildings with self-tuned indoor thermal environments – A critical reviewEnergy and Buildings, 224
Z. Nagy, F. Yong, Mario Frei, A. Schlueter (2015)
Occupant centered lighting control for comfort and energy efficient building operationEnergy and Buildings, 94
K. Siountri, Emmanouil Skondras, D. Vergados (2020)
Developing Smart Buildings Using Blockchain, Internet of Things, and Building Information ModelingInt. J. Interdiscip. Telecommun. Netw., 12
Gonçalo Marques, R. Pitarma (2019)
mHealth: Indoor Environmental Quality Measuring System for Enhanced Health and Well-Being Based on Internet of ThingsJ. Sens. Actuator Networks, 8
W. Valladares, M. Galindo, J. Gutierrez, Wu-Chieh Wu, Kuo-Kai Liao, Jen-Chung Liao, Kuang-Chin Lu, Chi-Chuan Wang (2019)
Energy optimization associated with thermal comfort and indoor air control via a deep reinforcement learning algorithmBuilding and Environment
L. Calderita, Araceli Vega-Magro, Sergio Barroso-Ramírez, P. Bustos, Pedro Trujillo (2020)
Designing a Cyber-Physical System for Ambient Assisted Living: A Use-Case Analysis for Social Robot Navigation in Caregiving CentersSensors (Basel, Switzerland), 20
F. Oldewurtel, A. Parisio, C. Jones, D. Gyalistras, M. Gwerder, V. Stauch, B. Lehmann, M. Morari (2012)
Use of model predictive control and weather forecasts for energy efficient building climate controlEnergy and Buildings, 45
A. Bueno, Antônio Xavier, E. Broday (2021)
Evaluating the Connection between Thermal Comfort and Productivity in Buildings: A Systematic Literature ReviewBuildings
Vangelis Marinakis, H. Doukas (2018)
An Advanced IoT-based System for Intelligent Energy Management in BuildingsSensors (Basel, Switzerland), 18
S. Habibi (2016)
Smart innovation systems for indoor environmental quality (IEQ)Journal of building engineering, 8
Manik Gupta, Nigel Phillips (2020)
Knowledge Discovery Using Topological Analysis for Building Sensor Data †Sensors (Basel, Switzerland), 20
Mischa Schmidt, C. Åhlund (2018)
Smart buildings as Cyber-Physical Systems: Data-driven predictive control strategies for energy efficiencyArXiv, abs/1807.06084
J. Vischer (2007)
The effects of the physical environment on job performance : Towards a theoretical model of workspace stressStress and Health, 23
Sensors, 13
S. Shetty, D. Hoang, Manish Gupta, S. Panda (2019)
Learning desk fan usage preferences for personalised thermal comfort in shared offices using tree-based methodsBuilding and Environment
Thomas Parkinson, Alex Parkinson, R. Dear (2019)
Continuous IEQ monitoring system: Context and developmentBuilding and Environment
P. Fokaides, C. Panteli, A. Panayidou (2020)
How Are the Smart Readiness Indicators Expected to Affect the Energy Performance of Buildings: First Evidence and PerspectivesSustainability
Z. Nagy, F. Yong, A. Schlueter (2016)
Occupant centered lighting control: A user study on balancing comfort, acceptance, and energy consumptionEnergy and Buildings, 126
Yuzhen Peng, A. Rysanek, Z. Nagy, A. Schlüter (2018)
Using machine learning techniques for occupancy-prediction-based cooling control in office buildingsApplied Energy, 211
B. Dong, Vishnu Prakash, Fan Feng, Zheng O’Neill (2019)
A review of smart building sensing system for better indoor environment controlEnergy and Buildings
T. Märzinger, D. Österreicher (2019)
Supporting the Smart Readiness Indicator—A Methodology to Integrate A Quantitative Assessment of the Load Shifting Potential of Smart BuildingsEnergies
Wei Zhang, W. Hu, Yonggang Wen (2019)
Thermal Comfort Modeling for Smart Buildings: A Fine-Grained Deep Learning ApproachIEEE Internet of Things Journal, 6
Yixing Chen, L. Gu, Jianshun Zhang (2015)
EnergyPlus and CHAMPS-Multizone co-simulation for energy and indoor air quality analysisBuilding Simulation, 8
Michael Roskams, Barry Haynes (2019)
Predictive analytics in facilities managementJournal of Facilities Management
Kássio Machado, D. Rosário, E. Cerqueira, A. Loureiro, A. Neto, J. Souza (2013)
A Routing Protocol Based on Energy and Link Quality for Internet of Things ApplicationsSensors (Basel, Switzerland), 13
Byung-Chang Jung, Y. Huh, Jin-Woo Park (2018)
A Self-Powered, Threshold-Based Wireless Sensor for the Detection of Floor VibrationsSensors (Basel, Switzerland), 18
T. Chang, Hsin-Yi Huang, Chung-Wen Hung, S. Datta, Terrance McMinn (2020)
A Network Sensor Fusion Approach for a Behaviour-Based Smart Energy Environment for Co-Making SpacesSensors (Basel, Switzerland), 20
R. Homod (2018)
Analysis and optimization of HVAC control systems based on energy and performance considerations for smart buildingsRenewable Energy
Ruobing Liang, Liang Zhao, Peng Wang (2020)
Performance Evaluations of LoRa Wireless Communication in Building EnvironmentsSensors (Basel, Switzerland), 20
A. Yahiaoui (2018)
A Practical Approach to Representation of Real-time Building Control Applications in SimulationInternational Journal of Automation and Computing, 17
H. Rafsanjani, A. Ghahramani (2020)
Towards utilizing internet of things (IoT) devices for understanding individual occupants' energy usage of personal and shared appliances in office buildingsJournal of Building Engineering
Lida Xu, E. Xu, L. Li (2018)
Industry 4.0: state of the art and future trendsInternational Journal of Production Research, 56
A. Luna-Navarro, R. Loonen, M. Juaristi, Aurora Monge-Barrio, S. Attia, M. Overend (2020)
Occupant-Facade interaction: a review and classification schemeBuilding and Environment
Jung-Yoon Kim, Chao-Hsien Chu, Sang-Moon Shin (2014)
ISSAQ: An Integrated Sensing Systems for Real-Time Indoor Air Quality MonitoringIEEE Sensors Journal, 14
O. Lavrova, H. Barsun, R. Burnett, A. Mammoli (2012)
Renewable energy and smart grid principles integration into campus-wide energy strategy at the University of New MexicoInternational Journal of Technology, Policy and Management, 12
E. Janhunen, Lauri Pulkka, Antti Säynäjoki, S. Junnila (2019)
Applicability of the Smart Readiness Indicator for Cold Climate CountriesBuildings
V. Giuli, O. Pos, M. Carli (2012)
Indoor environmental quality and pupil perception in Italian primary schoolsBuilding and Environment, 56
Wei Yu, Baizhan Li, Hongyuan Jia, Ming Zhang, Di Wang (2015)
Application of multi-objective genetic algorithm to optimize energy efficiency and thermal comfort in building designEnergy and Buildings, 88
Ngoc-Tri Ngo (2019)
Early predicting cooling loads for energy-efficient design in office buildings by machine learningEnergy and Buildings
A. Ghofrani, Seyyed Nazemi, M. Jafari (2019)
HVAC load synchronization in smart building communitiesSustainable Cities and Society
Han Zou, Yuxun Zhou, Jianfei Yang, C. Spanos (2018)
Device-free occupancy detection and crowd counting in smart buildings with WiFi-enabled IoTEnergy and Buildings
O. Seppänen, W. Fisk, Q. Lei (2006)
Ventilation and performance in office work.Indoor air, 16 1
T. Lawrence, Marie-Claude Boudreau, L. Helsen, G. Henze, J. Mohammadpour, D. Noonan, Dieter Patteeuw, S. Pless, R. Watson (2016)
Ten questions concerning integrating smart buildings into the smart gridBuilding and Environment, 108
Yang Geng, Wenjie Ji, B. Lin, Yingxin Zhu (2017)
The impact of thermal environment on occupant IEQ perception and productivityBuilding and Environment, 121
F. Salamone, L. Belussi, L. Danza, M. Ghellere, I. Meroni (2015)
Design and Development of nEMoS, an All-in-One, Low-Cost, Web-Connected and 3D-Printed Device for Environmental AnalysisSensors (Basel, Switzerland), 15
(2019)
Assessing and communicating indoor environmental quality
Seok-Ho Kim, Yujin Sung, Yoondong Sung, Donghyun Seo (2019)
Development of a Consecutive Occupancy Estimation Framework for Improving the Energy Demand Prediction Performance of Building Energy Modeling ToolsEnergies
Jung-seok Kang, Kwang-il Hwang (2016)
A Comprehensive Real-Time Indoor Air-Quality Level IndicatorSustainability, 8
Sandhyalaxmi Navada, C. Adiga, S. Kini (2013)
A Study on Daylight Integration with Thermal Comfort for Energy Conservation in a General OfficeInternational Journal of Electrical Energy, 1
F. Salamone, L. Belussi, L. Danza, Theodore Galanos, M. Ghellere, I. Meroni (2016)
Design and Development of a Nearable Wireless System to Control Indoor Air Quality and Indoor Lighting QualitySensors (Basel, Switzerland), 17
M. Gabriel, F. Felgueiras, Raúl Batista, C. Ribeiro, E. Ramos, Z. Mourão, Eduardo Fernandes (2020)
Indoor environmental quality in households of families with infant twins under 1 year of age living in Porto.Environmental research
Rui Yang, Lingfeng Wang (2012)
Multi-objective optimization for decision-making of energy and comfort management in building automation and controlSustainable Cities and Society, 2
S. Reka, T. Dragičević (2018)
Future effectual role of energy delivery: A comprehensive review of Internet of Things and smart gridRenewable and Sustainable Energy Reviews
Marco Massano, E. Patti, E. Macii, A. Acquaviva, Lorenzo Bottaccioli (2020)
An Online Grey-Box Model Based on Unscented Kalman Filter to Predict Temperature Profiles in Smart BuildingsEnergies
C. Papatsimpa, J. Linnartz (2019)
Distributed Fusion of Sensor Data in a Constrained Wireless NetworkSensors (Basel, Switzerland), 19
(2018)
Smart Readiness Indicator (SRI) for buildings not so smart as expected
P. Tien, S. Wei, J. Calautit, J. Darkwa, Christopher Wood (2020)
A vision-based deep learning approach for the detection and prediction of occupancy heat emissions for demand-driven control solutionsEnergy and Buildings, 226
K. Gobakis, D. Kolokotsa (2017)
Coupling building energy simulation software with microclimatic simulation for the evaluation of the impact of urban outdoor conditions on the energy consumption and indoor environmental qualityEnergy and Buildings, 157
D. Moher, A. Liberati, J. Tetzlaff, D. Altman (2009)
Preferred Reporting Items for Systematic Reviews and Meta-Analyses: The PRISMA StatementPLoS Medicine, 6
M. Bavaresco, Simona D'Oca, E. Ghisi, R. Lamberts (2019)
Technological innovations to assess and include the human dimension in the building-performance loop: A reviewEnergy and Buildings
T. Leephakpreeda (2005)
Adaptive Occupancy-based Lighting Control via Grey PredictionBuilding and Environment, 40
X. Zhang, M. Pipattanasomporn, Tao Chen, S. Rahman (2020)
An IoT-Based Thermal Model Learning Framework for Smart BuildingsIEEE Internet of Things Journal, 7
Gonçalo Marques, R. Pitarma (2016)
An Indoor Monitoring System for Ambient Assisted Living Based on Internet of Things ArchitectureInternational Journal of Environmental Research and Public Health, 13
R. Almeida, V. Freitas (2014)
Indoor environmental quality of classrooms in Southern European climateEnergy and Buildings, 81
Jiaqing Xie, Haoyang Li, Chuting Li, Jingsi Zhang, Maohui Luo (2020)
Review on occupant-centric thermal comfort sensing, predicting, and controllingEnergy and Buildings, 226
M. Jaakkola, R. Quansah, T. Hugg, S. Heikkinen, J. Jaakkola (2013)
Association of indoor dampness and molds with rhinitis risk: a systematic review and meta-analysis.The Journal of allergy and clinical immunology, 132 5
A. Mylonas, O. Kazanci, R. Andersen, B. Olesen (2019)
Capabilities and limitations of wireless CO2, temperature and relative humidity sensorsBuilding and Environment
Zhipeng Deng, Qingyan Chen (2018)
Artificial neural network models using thermal sensations and occupants’ behavior for predicting thermal comfortEnergy and Buildings
Gonçalo Marques, C. Ferreira, R. Pitarma (2019)
Indoor Air Quality Assessment Using a CO2 Monitoring System Based on Internet of ThingsJournal of Medical Systems, 43
Farhad Mofidi, H. Akbari (2020)
Intelligent buildings: An overviewEnergy and Buildings, 223
B. Ceranic, J. Beardmore, Adrian Cox (2018)
Rapid deployment modular building solutions and climatic adaptability: Case based study of a novel approach to “thermal capacity on demand”Energy and Buildings, 167
M. Ateeq, Farruh Ishmanov, M. Afzal, M. Naeem (2019)
Multi-Parametric Analysis of Reliability and Energy Consumption in IoT: A Deep Learning ApproachSensors (Basel, Switzerland), 19
I. Meir, M. Schwartz, Y. Davara, Y. Garb (2019)
A window of one’s own: a public office post-occupancy evaluationBuilding Research & Information, 47
Jose Aguilera, O. Kazanci, J. Toftum (2019)
Thermal adaptation in occupant-driven HVAC controlJournal of Building Engineering
Yujiao Chen, Zhe-ming Tong, Yang Zheng, Holly Samuelson, L. Norford (2020)
Transfer learning with deep neural networks for model predictive control of HVAC and natural ventilation in smart buildingsJournal of Cleaner Production
B. Spencer, F. Al-Obeidat, O. Alfandi (2017)
Accurately forecasting temperatures in smart buildings using fewer sensorsPersonal and Ubiquitous Computing, 23
P. Ferreira, A. Ruano, S. Silva, E. Conceicao (2012)
Neural networks based predictive control for thermal comfort and energy savings in public buildingsEnergy and Buildings, 55
Zeyu Wang, Jian Liu, Yuanxin Zhang, Hongping Yuan, Ruixue Zhang, R. Srinivasan (2021)
Practical issues in implementing machine-learning models for building energy efficiency: Moving beyond obstaclesRenewable & Sustainable Energy Reviews, 143
A. Ali, C. Cote, Mohammad Heidarinejad, B. Stephens (2019)
Elemental: An Open-Source Wireless Hardware and Software Platform for Building Energy and Indoor Environmental Monitoring and ControlSensors (Basel, Switzerland), 19
Shan Li, C. Fan, Junwei Zou, X. Zhang, Z. Wen (2012)
Smart Building Control Based on Wireless Sensor-Actuator NetworksApplied Mechanics and Materials, 241-244
The changes brought by Industry 4.0 go beyond transformations in the industrial environment. The increasingly frequent digitization and robotization of activities is not only restricted to the industrial environment, but also to people's daily routine. People spend a large part of their time inside buildings, and maintaining adequate Indoor Environmental Quality (IEQ) is an essential factor for a healthy and productive environment. In this sense, the purpose of this study is to verify how the Internet of Things (IoT) is being used to improve the indoor environment, through sensors that instantly measure the conditions of the environment.Design/methodology/approachThe aim of this paper is to verify, through a literature review, how IoT is being used for building control (for energy saving purposes) and to monitor IEQ conditions inside buildings, in order to provide a better environment for occupants, in terms of health and comfort. By combining keywords in databases, PRISMA method was used to select the articles for analysis, and 91 articles were analyzed.FindingsThe main findings in this research are: (1) the main purpose for applying IoT inside buildings is to reduce energy consumption; (2) there is an interest in developing low-cost sensoring devices with a learning approach; (3) Machine Learning methods are mainly used for energy saving purposes and to learn about occupants' behavior inside buildings, focusing on thermal comfort; (4) sensors in the IoT era are a requirement to help improve people's comfort and well-being.Originality/valueStudies directly correlating IoT and IEQ are limited. This paper emphasises the link between them, through the presentation of recent methods to control the built environment.
Smart and Sustainable Built Environment Market – Emerald Publishing
Published: Apr 10, 2023
Keywords: Internet of things; Indoor environmental quality; Smart buildings; Energy control; Building control
Read and print from thousands of top scholarly journals.
Already have an account? Log in
Bookmark this article. You can see your Bookmarks on your DeepDyve Library.
To save an article, log in first, or sign up for a DeepDyve account if you don’t already have one.
Copy and paste the desired citation format or use the link below to download a file formatted for EndNote
Access the full text.
Sign up today, get DeepDyve free for 14 days.
All DeepDyve websites use cookies to improve your online experience. They were placed on your computer when you launched this website. You can change your cookie settings through your browser.