An overview of machine learning applications for smart buildings

A Virtual Power Plant Solution for Aggregating Photovoltaic Systems and Other Distributed Energy Resources for Northern European Primary Frequency Reserves

(2021) Rakshith Subramanya et al.   Energies

Building HVAC Control with Reinforcement Learning for Reduction of Energy Cost and Demand Charge

(2021) Zhanhong Jiang et al.   ENERGY AND BUILDINGS

Monitoring data-driven Reinforcement Learning controller training: a comparative study of different training strategies for a real-world energy system

(2021) Thomas Schreiber et al.   ENERGY AND BUILDINGS

AI-assistance for predictive maintenance of renewable energy systems

(2021) Won Shin et al.   ENERGY

Reinforcement learning of occupant behavior model for cross-building transfer learning to various HVAC control systems

(2021) Zhipeng Deng et al.   ENERGY AND BUILDINGS

Optimization of thermal comfort, indoor quality, and energy-saving in campus classroom through deep Q learning

(2021) Kuan-Heng Yu et al.   Case Studies in Thermal Engineering

Scientometric mapping of smart building research: Towards a framework of human-cyber-physical system (HCPS)

(2021) Peixian Li et al.   AUTOMATION IN CONSTRUCTION

Recommendation of indoor luminous environment for occupants using big data analysis based on machine learning

(2021) Jiyoung Seo et al.   BUILDING AND ENVIRONMENT

Coordinated energy management for a cluster of buildings through deep reinforcement learning

(2021) Giuseppe Pinto et al.   ENERGY

Peak shaving in district heating exploiting reinforcement learning and agent-based modelling

(2021) Francesco M. Solinas et al.   ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE

Practical issues in implementing machine-learning models for building energy efficiency: Moving beyond obstacles

(2021) Zeyu Wang et al.   RENEWABLE & SUSTAINABLE ENERGY REVIEWS

Does historical data still count? Exploring the applicability of smart building applications in the post-pandemic period

(2021) Xiang Xie et al.   Sustainable Cities and Society

Improved residential energy management system using priority double deep Q-learning

(2021) Alwyn Mathew et al.   Sustainable Cities and Society

A systematic literature review on the use of artificial intelligence in energy self-management in smart buildings

(2021) J. Aguilar et al.   RENEWABLE & SUSTAINABLE ENERGY REVIEWS

Self-commissioning glare-based control system for integrated venetian blind and electric lighting

(2020) Ali Motamed et al.   BUILDING AND ENVIRONMENT

Unsupervised learning of energy signatures to identify the heating system and building type using smart meter data

(2020) Paul Westermann et al.   APPLIED ENERGY

A literature review of IoT energy platforms aimed at end users

(2020) Miguel M. Martín-Lopo et al.   Computer Networks

A review of studies applying machine learning models to predict occupancy and window-opening behaviours in smart buildings

(2020) Xilei Dai et al.   ENERGY AND BUILDINGS

Towards smart buildings with self-tuned indoor thermal environments- A critical review

(2020) Seungjae Lee et al.   ENERGY AND BUILDINGS

Developing a Digital Twin at Building and City Levels: Case Study of West Cambridge Campus

(2020) Qiuchen Lu et al.   JOURNAL OF MANAGEMENT IN ENGINEERING

Reduction and transformation of energy use data for end-user group categorization in dormitory buildings

(2020) Kwonsik Song et al.   Journal of Building Engineering

Operation scheduling in a solar thermal system: A reinforcement learning-based framework

(2020) Camila Correa-Jullian et al.   APPLIED ENERGY

Reinforcement learning for building controls: The opportunities and challenges

(2020) Zhe Wang et al.   APPLIED ENERGY

Semi-automatic geometric digital twinning for existing buildings based on images and CAD drawings

(2020) Qiuchen Lu et al.   AUTOMATION IN CONSTRUCTION

Towards a semantic Construction Digital Twin: Directions for future research

(2020) Calin Boje et al.   AUTOMATION IN CONSTRUCTION

Model-free control method based on reinforcement learning for building cooling water systems: Validation by measured data-based simulation

(2020) Shunian Qiu et al.   ENERGY AND BUILDINGS

Ensemble Learning with Member Optimization for Fault Diagnosis of a Building Energy System

(2020) Hua Han et al.   ENERGY AND BUILDINGS

Self-driving cars: A survey

(2020) Claudine Badue et al.   EXPERT SYSTEMS WITH APPLICATIONS

Intelligent detection of building cracks based on deep learning

(2020) Minjuan Zheng et al.   IMAGE AND VISION COMPUTING

Model-Free Real-Time Autonomous Control for a Residential Multi-Energy System Using Deep Reinforcement Learning

(2020) Yujian Ye et al.   IEEE Transactions on Smart Grid

Supervised damage and deterioration detection in building structures using an enhanced autoregressive time-series approach

(2020) Vahid Reza Gharehbaghi et al.   Journal of Building Engineering

An uncertainty-aware deep reinforcement learning framework for residential air conditioning energy management

(2020) Clement Lork et al.   APPLIED ENERGY

Digital twin-enabled anomaly detection for built asset monitoring in operation and maintenance

(2020) Qiuchen Lu et al.   AUTOMATION IN CONSTRUCTION

Development of the simulation model for Digital Twin applications in historical masonry buildings: The integration between numerical and experimental reality

(2020) Grigor Angjeliu et al.   COMPUTERS & STRUCTURES

Peeking into the void: Digital twins for construction site logistics

(2020) Toni Greif et al.   COMPUTERS IN INDUSTRY

Deep reinforcement learning to optimise indoor temperature control and heating energy consumption in buildings

(2020) Silvio Brandi et al.   ENERGY AND BUILDINGS

Deep learning and transfer learning models of energy consumption forecasting for a building with poor information data

(2020) Yuan Gao et al.   ENERGY AND BUILDINGS

Intelligent buildings: An overview

(2020) Farhad Mofidi et al.   ENERGY AND BUILDINGS

A Hierarchical Approach to Multienergy Demand Response: From Electricity to Multienergy Applications

(2020) Ali Hassan et al.   PROCEEDINGS OF THE IEEE

A Review of Smart Design Based on Interactive Experience in Building Systems

(2020) Zhen Li et al.   Sustainability

Performance of a self-learning predictive controller for peak shifting in a building integrated with energy storage

(2020) Jianing (Tom) Luo et al.   Sustainable Cities and Society

Smart buildings features and key performance indicators: A review

(2020) Joud Al Dakheel et al.   Sustainable Cities and Society

Energy-Efficient Heating Control for Smart Buildings with Deep Reinforcement Learning

(2020) Anchal Gupta et al.   Journal of Building Engineering

An Artificial Intelligence framework for bidding optimization with uncertainty in multiple frequency reserve markets

(2020) Thimal Kempitiya et al.   APPLIED ENERGY

Intelligent multi-zone residential HVAC control strategy based on deep reinforcement learning

(2020) Yan Du et al.   APPLIED ENERGY

The role of residential rooftop photovoltaic in long-term energy and climate scenarios

(2020) David E.H.J. Gernaat et al.   APPLIED ENERGY

Is anyone home? A critical review of occupant-centric smart HVAC controls implementations in residential buildings

(2020) Helen Stopps et al.   BUILDING AND ENVIRONMENT

Fault detection and diagnosis of large-scale HVAC systems in buildings using data-driven methods: A comprehensive review

(2020) Maryam Sadat Mirnaghi et al.   ENERGY AND BUILDINGS

Application of two promising Reinforcement Learning algorithms for load shifting in a cooling supply system

(2020) Thomas Schreiber et al.   ENERGY AND BUILDINGS

Measuring the right factors: A review of variables and models for thermal comfort and indoor air quality

(2020) Nan Ma et al.   RENEWABLE & SUSTAINABLE ENERGY REVIEWS

Towards Energy Efficient Home Automation: A Deep Learning Approach

(2020) Murad Khan et al.   SENSORS

Smart technologies and urban life: A behavioral and social perspective

(2020) Junyi Zhang et al.   Sustainable Cities and Society

Adaptive-predictive control strategy for HVAC systems in smart buildings – A review

(2020) Maryam Gholamzadehmir et al.   Sustainable Cities and Society

Applications of reinforcement learning in energy systems

(2020) A.T.D. Perera et al.   RENEWABLE & SUSTAINABLE ENERGY REVIEWS

Demand side management through load shifting in IoT based HEMS: Overview, challenges and opportunities

(2020) Swati Sharda et al.   Sustainable Cities and Society

Deep learning-based classification of earthquake-impacted buildings using textual damage descriptions

(2019) Sujith Mangalathu et al.   International Journal of Disaster Risk Reduction

A Survey on Transfer Learning for Multiagent Reinforcement Learning Systems

(2019) Felipe Leno Da Silva et al.   JOURNAL OF ARTIFICIAL INTELLIGENCE RESEARCH

A deep learning and gamification approach to improving human-building interaction and energy efficiency in smart infrastructure

(2019) Ioannis C. Konstantakopoulos et al.   APPLIED ENERGY

Machine Learning for Smart Building Applications

(2019) Djamel Djenouri et al.   ACM COMPUTING SURVEYS

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

(2019) William Valladares et al.   BUILDING AND ENVIRONMENT

State of the Art of Machine Learning Models in Energy Systems, a Systematic Review

(2019) Amir Mosavi et al.   Energies

Automatic damage detection of historic masonry buildings based on mobile deep learning

(2019) Niannian Wang et al.   AUTOMATION IN CONSTRUCTION

A review of reinforcement learning for autonomous building energy management

(2019) Karl Mason et al.   COMPUTERS & ELECTRICAL ENGINEERING

Context aware intrusion detection for building automation systems

(2019) Zhiwen Pan et al.   COMPUTERS & SECURITY

‘Cognitive facility management’: Definition, system architecture, and example scenario

(2019) Jinying Xu et al.   AUTOMATION IN CONSTRUCTION

Performance based thermal comfort control (PTCC) using deep reinforcement learning for space cooling

(2019) Young Ran Yoon et al.   ENERGY AND BUILDINGS

Using reinforcement learning for maximizing residential self-consumption – Results from a field test

(2019) Ana Soares et al.   ENERGY AND BUILDINGS

Database quality assessment for interactive learning: application to occupancy estimation

(2019) Manar Amayri et al.   ENERGY AND BUILDINGS

A review of the applications of artificial intelligence and big data to buildings for energy-efficiency and a comfortable indoor living environment

(2019) Muhammad Uzair Mehmood et al.   ENERGY AND BUILDINGS

From Novel Technology to Novel Applications: Comment on “An Integrated Brain-Machine Interface Platform With Thousands of Channels” by Elon Musk and Neuralink

(2019) Alexander N Pisarchik et al.   JOURNAL OF MEDICAL INTERNET RESEARCH

A review of reinforcement learning methodologies for controlling occupant comfort in buildings

(2019) Mengjie Han et al.   Sustainable Cities and Society

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

(2019) Zhengbo Zou et al.   BUILDING AND ENVIRONMENT

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 Management

(2019) Dana-Mihaela Petroșanu et al.   Energies

Potential analysis of the transfer learning model in short and medium-term forecasting of building HVAC energy consumption

(2019) Fanyue Qian et al.   ENERGY

Study on deep reinforcement learning techniques for building energy consumption forecasting

(2019) Tao Liu et al.   ENERGY AND BUILDINGS

Transfer learning with deep neural networks for model predictive control of HVAC and natural ventilation in smart buildings

(2019) Yujiao Chen et al.   JOURNAL OF CLEANER PRODUCTION

Reconstruction of the indoor temperature dataset of a house using data driven models for performance evaluation

(2018) Luis M. Candanedo et al.   BUILDING AND ENVIRONMENT

Optimal control of HVAC and window systems for natural ventilation through reinforcement learning

(2018) Yujiao Chen et al.   ENERGY AND BUILDINGS

Task Allocation Algorithm for Energy Resources Providing Frequency Containment Reserves

(2018) Christian Giovanelli et al.   IEEE Transactions on Industrial Informatics

A multi-hazard approach to assess severe weather-induced major power outage risks in the U.S.

(2018) Sayanti Mukherjee et al.   RELIABILITY ENGINEERING & SYSTEM SAFETY

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

Towards occupant activity driven smart buildings via WiFi-enabled IoT devices and deep learning

(2018) Han Zou et al.   ENERGY AND BUILDINGS

LightLearn: An adaptive and occupant centered controller for lighting based on reinforcement learning

(2018) June Young Park et al.   BUILDING AND ENVIRONMENT

A Digital-Twin Evaluation of Net Zero Energy Building for Existing Buildings

(2018) Sakdirat Kaewunruen et al.   Sustainability

Fusing TensorFlow with building energy simulation for intelligent energy management in smart cities

(2018) José R. Vázquez-Canteli et al.   Sustainable Cities and Society

Reinforcement learning for demand response: A review of algorithms and modeling techniques

(2018) José R. Vázquez-Canteli et al.   APPLIED ENERGY

An ensemble learning framework for anomaly detection in building energy consumption

(2017) Daniel B. Araya et al.   ENERGY AND BUILDINGS

Computers are learning to code for themselves

(2017) Matt Reynolds   NEW SCIENTIST

Materializing the Promises of Cognitive IoT: How Cognitive Buildings are Shaping the Way

(2017) Joern Ploennigs et al.   IEEE Internet of Things Journal

Demand side flexibility coordination in office buildings: A framework and case study application

(2017) K.O. Aduda et al.   Sustainable Cities and Society

Satisfaction based Q-learning for integrated lighting and blind control

(2016) Zhijin Cheng et al.   ENERGY AND BUILDINGS

Dynamic load management for a residential customer; Reinforcement Learning approach

(2016) A. Sheikhi et al.   Sustainable Cities and Society

Demand side management for a residential customer in multi-energy systems

(2016) Aras Sheikhi et al.   Sustainable Cities and Society

On the application of multi-agent systems in buildings for improved building operations, performance and smart grid interaction – A survey

(2015) Timilehin Labeodan et al.   RENEWABLE & SUSTAINABLE ENERGY REVIEWS

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

(2013) Farrokh Jazizadeh et al.   ENERGY AND BUILDINGS

Mathematical definition, mapping, and detection of (anti)fragility

(2013) N. N. Taleb et al.   QUANTITATIVE FINANCE