Intelligent building control systems for thermal comfort and energy-efficiency: A systematic review of artificial intelligence-assisted techniques

Machine-learning based hybrid demand-side controller for high-rise office buildings with high energy flexibilities

(2020) Yuekuan Zhou et al.   APPLIED ENERGY

An Intelligent Model to Predict Energy Performances of Residential Buildings Based on Deep Neural Networks

(2020) Azadeh Sadeghi et al.   Energies

Comparative Analyses of Energy Efficiency between on-Demand and Predictive Controls for Buildings’ Indoor Thermal Environment

(2020) Lee-Yong Sung et al.   Energies

The use of artificial intelligence (AI) methods in the prediction of thermal comfort in buildings: energy implications of AI-based thermal comfort controls

(2020) Jack Ngarambe et al.   ENERGY AND BUILDINGS

Smart Wifi Thermostat-Enabled Thermal Comfort Control in Residences

(2020) Robert Lou et al.   Sustainability

Optimal design of building environment with hybrid genetic algorithm, artificial neural network, multivariate regression analysis and fuzzy logic controller

(2020) Tianhu Zhang et al.   BUILDING AND ENVIRONMENT

Evaluation of energy-saving potential for optimal time response of HVAC control system in smart buildings

(2020) Raad Z. Homod et al.   APPLIED ENERGY

Experimental study of an indoor temperature fuzzy control method for thermal comfort and energy saving using wristband device

(2020) Wei Li et al.   BUILDING AND ENVIRONMENT

Artificial Intelligence-Assisted Heating Ventilation and Air Conditioning Control and the Unmet Demand for Sensors: Part 1. Problem Formulation and the Hypothesis

(2019) Chin-Chi Cheng et al.   SENSORS

Energy optimization associated with thermal comfort and indoor air control via a deep reinforcement learning algorithm

(2019) William Valladares et al.   BUILDING AND ENVIRONMENT

A feedforward neural network based indoor-climate control framework for thermal comfort and energy saving in buildings

(2019) Tanaya Chaudhuri et al.   APPLIED ENERGY

Situation-aware model for multi-objective decision making in ambient intelligence

(2019) Milene Santos Teixeira et al.   APPLIED SOFT COMPUTING

Indoor thermal environment optimal control for thermal comfort and energy saving based on online monitoring of thermal sensation

(2019) Wei Li et al.   ENERGY AND BUILDINGS

Caveat Emptor: The Risks of Using Big Data for Human Development

(2019) Siddique Latif et al.   IEEE TECHNOLOGY AND SOCIETY MAGAZINE

Learning occupants’ indoor comfort temperature through a Bayesian inference approach for office buildings in United States

(2019) Zhe Wang et al.   RENEWABLE & SUSTAINABLE ENERGY REVIEWS

Prediction of building indoor temperature response in variable air volume systems

(2019) Ali Ghofrani et al.   Journal of Building Performance Simulation

Towards optimal control of air handling units using deep reinforcement learning and recurrent neural network

(2019) Zhengbo Zou et al.   BUILDING AND ENVIRONMENT

Prediction of thermal energy inside smart homes using IoT and classifier ensemble techniques

(2019) Hong Xu et al.   COMPUTER COMMUNICATIONS

A three-stage optimization methodology for envelope design of passive house considering energy demand, thermal comfort and cost

(2019) Ran Wang et al.   ENERGY

A practical artificial intelligence-based approach for predictive control in commercial and institutional buildings

(2019) N. Cotrufo et al.   ENERGY AND BUILDINGS

Towards non-intrusive and high accuracy prediction of personal thermal comfort using a few sensitive physiological parameters

(2019) Chengcheng Shan et al.   ENERGY AND BUILDINGS

Improving sustainability of ever-changing building spaces affected by users’ fickle taste: A focus on human comfort and energy use

(2019) Jin Woo Moon et al.   ENERGY AND BUILDINGS

Medium, short and very short-term prognosis of load demand for the Greek Island of Tilos using artificial neural networks and human thermal comfort-discomfort biometeorological data

(2019) K. Moustris et al.   RENEWABLE ENERGY

Using machine learning techniques for occupancy-prediction-based cooling control in office buildings

(2018) Yuzhen Peng et al.   APPLIED ENERGY

Review of Control Techniques for HVAC Systems—Nonlinearity Approaches Based on Fuzzy Cognitive Maps

(2018) Farinaz Behrooz et al.   Energies

A review of building climate and plant controls, and a survey of industry perspectives

(2018) Mohammad Royapoor et al.   ENERGY AND BUILDINGS

Experimental testing of a system for the energy-efficient sub-zonal heating management in indoor environments based on PMV

(2018) L. Zampetti et al.   ENERGY AND BUILDINGS

Passive design optimization of newly-built residential buildings in Shanghai for improving indoor thermal comfort while reducing building energy demand

(2018) Shaoqing Gou et al.   ENERGY AND BUILDINGS

Enabling Cooperative Behavior for Building Demand Response Based on Extended Joint Action Learning

(2018) Luis A. Hurtado et al.   IEEE Transactions on Industrial Informatics

Security and privacy challenges in smart cities

(2018) Trevor Braun et al.   Sustainable Cities and Society

Can HVAC really learn from users? A simulation-based study on the effectiveness of voting for comfort and energy use optimization

(2018) Paulo Carreira et al.   Sustainable Cities and Society

Implementation of predictive control in a commercial building energy management system using neural networks

(2017) Marcel Macarulla et al.   ENERGY AND BUILDINGS

An energy-efficient predictive control for HVAC systems applied to tertiary buildings based on regression techniques

(2017) Diana Manjarres et al.   ENERGY AND BUILDINGS

Balancing indoor thermal comfort and energy consumption of ACMV systems via sparse swarm algorithms in optimizations

(2017) Deqing Zhai et al.   ENERGY AND BUILDINGS

A low-complexity control mechanism targeting smart thermostats

(2017) Panayiotis Danassis et al.   ENERGY AND BUILDINGS

Internet of Things Security Research: A Rehash of Old Ideas or New Intellectual Challenges?

(2017) Earlence Fernandes et al.   IEEE SECURITY & PRIVACY

An ANN-GA Semantic Rule-Based System to Reduce the Gap Between Predicted and Actual Energy Consumption in Buildings

(2017) Baris Yuce et al.   IEEE Transactions on Automation Science and Engineering

Smart Random Neural Network Controller for HVAC Using Cloud Computing Technology

(2017) Abbas Javed et al.   IEEE Transactions on Industrial Informatics

A review on current advances in the energy and environmental performance of buildings towards a more sustainable built environment

(2017) N. Soares et al.   RENEWABLE & SUSTAINABLE ENERGY REVIEWS

A Comfort-Based Approach to Smart Heating and Air Conditioning

(2017) Frederik Auffenberg et al.   ACM Transactions on Intelligent Systems and Technology

Design and Implementation of a Cloud Enabled Random Neural Network-Based Decentralized Smart Controller With Intelligent Sensor Nodes for HVAC

(2017) Abbas Javed et al.   IEEE Internet of Things Journal

Dynamic programming and genetic algorithms to control an HVAC system: Maximizing thermal comfort and minimizing cost with PV production and storage

(2017) Henrique Pombeiro et al.   Sustainable Cities and Society

A Long-Short Term Memory Recurrent Neural Network Based Reinforcement Learning Controller for Office Heating Ventilation and Air Conditioning Systems

(2017) et al.   Processes

An operation optimization and decision framework for a building cluster with distributed energy systems

(2016) Xiwang Li et al.   APPLIED ENERGY

Development of a thermal control algorithm using artificial neural network models for improved thermal comfort and energy efficiency in accommodation buildings

(2016) Jin Woo Moon et al.   APPLIED THERMAL ENGINEERING

Real Time Information Based Energy Management Using Customer Preferences and Dynamic Pricing in Smart Homes

(2016) Muhammad Rasheed et al.   Energies

Learning based personalized energy management systems for residential buildings

(2016) Mallikarjun Soudari et al.   ENERGY AND BUILDINGS

The IMBPC HVAC system: A complete MBPC solution for existing HVAC systems

(2016) Antonio E. Ruano et al.   ENERGY AND BUILDINGS

Multi-objective optimization of building energy performance and indoor thermal comfort: A new method using artificial bee colony (ABC)

(2016) Navid Delgarm et al.   ENERGY AND BUILDINGS

Algorithm for optimal application of the setback moment in the heating season using an artificial neural network model

(2016) Jin Woo Moon et al.   ENERGY AND BUILDINGS

Simulation-based model predictive control by the multi-objective optimization of building energy performance and thermal comfort

(2016) Fabrizio Ascione et al.   ENERGY AND BUILDINGS

Intelligent multi-objective control and management for smart energy efficient buildings

(2016) Pervez Hameed Shaikh et al.   INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS

Fuzzy logic-based advanced on–off control for thermal comfort in residential buildings

(2015) Chang-Soon Kang et al.   APPLIED ENERGY

Predictive control of multizone heating, ventilation and air-conditioning systems in non-residential buildings

(2015) Antoine Garnier et al.   APPLIED SOFT COMPUTING

Comparative performance analysis of the artificial-intelligence-based thermal control algorithms for the double-skin building

(2015) Jin Woo Moon   APPLIED THERMAL ENGINEERING

A new model predictive control scheme for energy and cost savings in commercial buildings: An airport terminal building case study

(2015) Hao Huang et al.   BUILDING AND ENVIRONMENT

Automatic Control System for Thermal Comfort Based on Predicted Mean Vote and Energy Saving

(2015) K. L. Ku et al.   IEEE Transactions on Automation Science and Engineering

Multi-Agent Architecture for Control of Heating and Cooling in a Residential Space

(2014) D. Zupan i  et al.   COMPUTER JOURNAL

Comfort-based fuzzy control optimization for energy conservation in HVAC systems

(2014) Sajid Hussain et al.   CONTROL ENGINEERING PRACTICE

A Dynamic Fuzzy Controller to Meet Thermal Comfort by Using Neural Network Forecasted Parameters as the Input

(2014) Mario Collotta et al.   Energies

Application of control logic for optimum indoor thermal environment in buildings with double skin envelope systems

(2014) Jin Woo Moon et al.   ENERGY AND BUILDINGS

A knowledge based approach for selecting energy-aware and comfort-driven HVAC temperature set points

(2014) Ali Ghahramani et al.   ENERGY AND BUILDINGS

Multi-agent Gaussian Adaptive Resonance Theory Map for building energy control and thermal comfort management of UCLan's WestLakes Samuel Lindow Building

(2014) Maizura Mokhtar et al.   ENERGY AND BUILDINGS

A review on optimized control systems for building energy and comfort management of smart sustainable buildings

(2014) Pervez Hameed Shaikh et al.   RENEWABLE & SUSTAINABLE ENERGY REVIEWS

Stochastic optimized intelligent controller for smart energy efficient buildings

(2014) Pervez Hameed Shaikh et al.   Sustainable Cities and Society

The PRISMA Statement for Reporting Systematic Reviews and Meta-Analyses of Studies That Evaluate Health Care Interventions: Explanation and Elaboration

(2013) Alessandro Liberati   ANNALS OF INTERNAL MEDICINE

Theory and applications of HVAC control systems – A review of model predictive control (MPC)

(2013) Abdul Afram et al.   BUILDING AND ENVIRONMENT

User-led decentralized thermal comfort driven HVAC operations for improved efficiency in office buildings

(2013) Farrokh Jazizadeh et al.   ENERGY AND BUILDINGS

A review of computational optimisation methods applied to sustainable building design

(2013) Ralph Evins   RENEWABLE & SUSTAINABLE ENERGY REVIEWS

Data-driven modeling and optimization of thermal comfort and energy consumption using type-2 fuzzy method

(2013) Chengdong Li et al.   SOFT COMPUTING

A real-time model predictive control for building heating and cooling systems based on the occupancy behavior pattern detection and local weather forecasting

(2013) Bing Dong et al.   Building Simulation

Multi-agent control system with information fusion based comfort model for smart buildings

(2012) Zhu Wang et al.   APPLIED ENERGY

A review of indices for the long-term evaluation of the general thermal comfort conditions in buildings

(2012) Salvatore Carlucci et al.   ENERGY AND BUILDINGS

Neural networks based predictive control for thermal comfort and energy savings in public buildings

(2012) P.M. Ferreira et al.   ENERGY AND BUILDINGS

Development of multi-agent system for building energy and comfort management based on occupant behaviors

(2012) Rui Yang et al.   ENERGY AND BUILDINGS

Comparative study of artificial intelligence-based building thermal control methods – Application of fuzzy, adaptive neuro-fuzzy inference system, and artificial neural network

(2011) Jin Woo Moon et al.   APPLIED THERMAL ENGINEERING

Coordinating occupant behavior for building energy and comfort management using multi-agent systems

(2011) Laura Klein et al.   AUTOMATION IN CONSTRUCTION

Model predictive control of VAV zone thermal systems concerning bi-linearity and gain nonlinearity

(2011) Gongsheng Huang   CONTROL ENGINEERING PRACTICE

Reducing Transient and Steady State Electricity Consumption in HVAC Using Learning-Based Model-Predictive Control

(2011) A. Aswani et al.   PROCEEDINGS OF THE IEEE

Application of model based predictive control for water-based floor heating in low energy residential buildings

(2010) Henrik Karlsson et al.   BUILDING AND ENVIRONMENT

A personalized measure of thermal comfort for building controls

(2010) David Daum et al.   BUILDING AND ENVIRONMENT

Intelligent control system for reconciliation of the energy savings with comfort in buildings using soft computing techniques

(2010) A.I. Dounis et al.   ENERGY AND BUILDINGS

Genetic algorithm-based fuzzy-PID control methodologies for enhancement of energy efficiency of a dynamic energy system

(2010) G. Jahedi et al.   ENERGY CONVERSION AND MANAGEMENT

Occupant performance and building energy consumption with different philosophies of determining acceptable thermal conditions

(2009) J. Toftum et al.   BUILDING AND ENVIRONMENT

Multiobjective optimization of building design using TRNSYS simulations, genetic algorithm, and Artificial Neural Network

(2009) Laurent Magnier et al.   BUILDING AND ENVIRONMENT

Preferred Reporting Items for Systematic Reviews and Meta-Analyses: The PRISMA Statement

(2009) David Moher et al.   PLOS MEDICINE

Adaptive neuro-fuzzy based inferential sensor model for estimating the average air temperature in space heating systems

(2008) S. Jassar et al.   BUILDING AND ENVIRONMENT

Optimal control strategy for a multi-zone air conditioning system using a genetic algorithm

(2008) M MOSSOLLY et al.   ENERGY

Predicting of fan speed for energy saving in HVAC system based on adaptive network based fuzzy inference system

(2008) Servet Soyguder et al.   EXPERT SYSTEMS WITH APPLICATIONS

Advanced control systems engineering for energy and comfort management in a building environment—A review

(2008) A.I. Dounis et al.   RENEWABLE & SUSTAINABLE ENERGY REVIEWS

Design of intelligent comfort control system with human learning and minimum power control strategies

(2007) J. Liang et al.   ENERGY CONVERSION AND MANAGEMENT