Practical issues in implementing machine-learning models for building energy efficiency: Moving beyond obstacles
Published 2021 View Full Article
- Home
- Publications
- Publication Search
- Publication Details
Title
Practical issues in implementing machine-learning models for building energy efficiency: Moving beyond obstacles
Authors
Keywords
Machine learning, Building energy modeling, Energy efficiency, Building energy management, Practical issues, Technology diffusion
Journal
RENEWABLE & SUSTAINABLE ENERGY REVIEWS
Volume 143, Issue -, Pages 110929
Publisher
Elsevier BV
Online
2021-03-09
DOI
10.1016/j.rser.2021.110929
References
Ask authors/readers for more resources
Related references
Note: Only part of the references are listed.- A review of machine learning in building load prediction
- (2021) Liang Zhang et al. APPLIED ENERGY
- State-of-the-art on research and applications of machine learning in the building life cycle
- (2020) Tianzhen Hong et al. ENERGY AND BUILDINGS
- A review of building occupancy measurement systems
- (2020) Kailai Sun et al. ENERGY AND BUILDINGS
- A review of the-state-of-the-art in data-driven approaches for building energy prediction
- (2020) Ying Sun et al. ENERGY AND BUILDINGS
- Prediction of household electricity consumption and effectiveness of concerted intervention strategies based on occupant behaviour and personality traits
- (2020) Meng Shen et al. RENEWABLE & SUSTAINABLE ENERGY REVIEWS
- Prediction of occupancy level and energy consumption in office building using blind system identification and neural networks
- (2019) Yixuan Wei et al. APPLIED ENERGY
- Demand response algorithms for smart-grid ready residential buildings using machine learning models
- (2019) Fabiano Pallonetto et al. APPLIED ENERGY
- Least squares support vector machine (LS-SVM)-based chiller fault diagnosis using fault indicative features
- (2019) Hua Han et al. APPLIED THERMAL ENGINEERING
- Inferring occupant counts from Wi-Fi data in buildings through machine learning
- (2019) Zhe Wang et al. BUILDING AND ENVIRONMENT
- Comparative study of data driven methods in building electricity use prediction
- (2019) Aaron Zeng et al. ENERGY AND BUILDINGS
- Artificial intelligence-based fault detection and diagnosis methods for building energy systems: Advantages, challenges and the future
- (2019) Yang Zhao et al. RENEWABLE & SUSTAINABLE ENERGY REVIEWS
- A feedforward neural network based indoor-climate control framework for thermal comfort and energy saving in buildings
- (2019) Tanaya Chaudhuri et al. APPLIED ENERGY
- Cloud forecasting system for monitoring and alerting of energy use by home appliances
- (2019) Jui-Sheng Chou et al. APPLIED ENERGY
- Comparison of machine learning models for occupancy prediction in residential buildings using connected thermostat data
- (2019) Brent Huchuk et al. BUILDING AND ENVIRONMENT
- Application of artificial neutral network and geographic information system to evaluate retrofit potential in public school buildings
- (2019) F. Re Cecconi et al. RENEWABLE & SUSTAINABLE ENERGY REVIEWS
- Developing surrogate ANN for selecting near-optimal building energy renovation methods considering energy consumption, LCC and LCA
- (2019) Seyed Amirhosain Sharif et al. Journal of Building Engineering
- Building energy performance forecasting: A multiple linear regression approach
- (2019) G. Ciulla et al. APPLIED ENERGY
- Bayesian filtering for building occupancy estimation from carbon dioxide concentration
- (2019) Chaoyang Jiang et al. ENERGY AND BUILDINGS
- Study on deep reinforcement learning techniques for building energy consumption forecasting
- (2019) Tao Liu et al. ENERGY AND BUILDINGS
- Deep-learning neural-network architectures and methods: Using component-based models in building-design energy prediction
- (2018) Sundaravelpandian Singaravel et al. ADVANCED ENGINEERING INFORMATICS
- Data-driven model predictive control using random forests for building energy optimization and climate control
- (2018) Francesco Smarra et al. APPLIED ENERGY
- Predicting electricity consumption for commercial and residential buildings using deep recurrent neural networks
- (2018) Aowabin Rahman et al. APPLIED ENERGY
- Using machine learning techniques for occupancy-prediction-based cooling control in office buildings
- (2018) Yuzhen Peng et al. APPLIED ENERGY
- Analytical investigation of autoencoder-based methods for unsupervised anomaly detection in building energy data
- (2018) Cheng Fan et al. APPLIED ENERGY
- Approximate model predictive building control via machine learning
- (2018) Ján Drgoňa et al. APPLIED ENERGY
- Component-based machine learning for performance prediction in building design
- (2018) Philipp Geyer et al. APPLIED ENERGY
- Effect of input variables on cooling load prediction accuracy of an office building
- (2018) Yan Ding et al. APPLIED THERMAL ENGINEERING
- 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
- Occupancy prediction through Markov based feedback recurrent neural network (M-FRNN) algorithm with WiFi probe technology
- (2018) Wei Wang et al. BUILDING AND ENVIRONMENT
- Fault detection and diagnosis for nonlinear systems: A new adaptive Gaussian mixture modeling approach
- (2018) Majid Karami et al. ENERGY AND BUILDINGS
- A novel feature selection framework with Hybrid Feature-Scaled Extreme Learning Machine (HFS-ELM) for indoor occupancy estimation
- (2018) Mustafa K. Masood et al. ENERGY AND BUILDINGS
- Random Forest based hourly building energy prediction
- (2018) Zeyu Wang et al. ENERGY AND BUILDINGS
- Short and medium-term forecasting of cooling and heating load demand in building environment with data-mining based approaches
- (2018) Tanveer Ahmad et al. ENERGY AND BUILDINGS
- Parametric analysis of design stage building energy performance simulation models
- (2018) Patrick Shiel et al. ENERGY AND BUILDINGS
- Building occupancy estimation and detection: A review
- (2018) Zhenghua Chen 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
- A Novel Method Based on Extreme Learning Machine to Predict Heating and Cooling Load through Design and Structural Attributes
- (2018) Sachin Kumar et al. ENERGY AND BUILDINGS
- A hybrid teaching-learning artificial neural network for building electrical energy consumption prediction
- (2018) Kangji Li et al. ENERGY AND BUILDINGS
- Fault Detection and Classification Based on Co-training of Semisupervised Machine Learning
- (2018) Tamer S. Abdelgayed et al. IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS
- A review of data-driven approaches for prediction and classification of building energy consumption
- (2018) Yixuan Wei et al. RENEWABLE & SUSTAINABLE ENERGY REVIEWS
- A review of data-driven building energy consumption prediction studies
- (2018) Kadir Amasyali et al. RENEWABLE & SUSTAINABLE ENERGY REVIEWS
- Estimating heating load in buildings using multivariate adaptive regression splines, extreme learning machine, a hybrid model of MARS and ELM
- (2018) Sanjiban Sekhar Roy et al. RENEWABLE & SUSTAINABLE ENERGY REVIEWS
- The human dimensions of energy use in buildings: A review
- (2018) Simona D’Oca et al. RENEWABLE & SUSTAINABLE ENERGY REVIEWS
- Using artificial neural networks to assess HVAC related energy saving in retrofitted office buildings
- (2018) Chirag Deb et al. SOLAR ENERGY
- Performer, consumer or expert? A critical review of building performance simulation training paradigms for building design decision-making
- (2018) Sara Alsaadani et al. Journal of Building Performance Simulation
- Development of a ranking procedure for energy performance evaluation of buildings based on occupant behavior
- (2018) Milad Ashouri et al. ENERGY AND BUILDINGS
- Early predicting cooling loads for energy-efficient design in office buildings by machine learning
- (2018) Ngoc-Tri Ngo ENERGY AND BUILDINGS
- Semi-supervised learning for early detection and diagnosis of various air handling unit faults
- (2018) Ke Yan et al. ENERGY AND BUILDINGS
- Day-ahead building-level load forecasts using deep learning vs. traditional time-series techniques
- (2018) Mengmeng Cai et al. APPLIED ENERGY
- Design of machine learning models with domain experts for automated sensor selection for energy fault detection
- (2018) R.L. Hu et al. APPLIED ENERGY
- Artificial neural networks to predict energy performance and retrofit scenarios for any member of a building category: A novel approach
- (2017) Fabrizio Ascione et al. ENERGY
- An energy-efficient predictive control for HVAC systems applied to tertiary buildings based on regression techniques
- (2017) Diana Manjarres et al. ENERGY AND BUILDINGS
- Occupancy estimation with environmental sensing via non-iterative LRF feature learning in time and frequency domains
- (2017) Qingchang Zhu et al. ENERGY AND BUILDINGS
- An enhanced PCA method with Savitzky-Golay method for VRF system sensor fault detection and diagnosis
- (2017) Yabin Guo et al. ENERGY AND BUILDINGS
- Trees vs Neurons: Comparison between random forest and ANN for high-resolution prediction of building energy consumption
- (2017) Muhammad Waseem Ahmad 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
- Artificial neural network (ANN) based model predictive control (MPC) and optimization of HVAC systems: A state of the art review and case study of a residential HVAC system
- (2017) Abdul Afram et al. ENERGY AND BUILDINGS
- Data driven prediction models of energy use of appliances in a low-energy house
- (2017) Luis M. Candanedo et al. ENERGY AND BUILDINGS
- Residential HVAC fault detection using a system identification approach
- (2017) W.J.N. Turner et al. ENERGY AND BUILDINGS
- A relevant data selection method for energy consumption prediction of low energy building based on support vector machine
- (2017) Subodh Paudel et al. ENERGY AND BUILDINGS
- A review of artificial intelligence based building energy use prediction: Contrasting the capabilities of single and ensemble prediction models
- (2017) Zeyu Wang et al. RENEWABLE & SUSTAINABLE ENERGY REVIEWS
- Energy use predictions with machine learning during architectural concept design
- (2017) Greig Paterson et al. Science and Technology for the Built Environment
- Electrical load forecasting models: A critical systematic review
- (2017) Corentin Kuster et al. Sustainable Cities and Society
- Simulation-based optimization of an integrated daylighting and HVAC system using the design of experiments method
- (2016) Wonuk Kim et al. APPLIED ENERGY
- Energy consumption control automation using Artificial Neural Networks and adaptive algorithms: Proposal of a new methodology and case study
- (2016) Miriam Benedetti et al. APPLIED ENERGY
- Occupancy data analytics and prediction: A case study
- (2016) Xin Liang et al. BUILDING AND ENVIRONMENT
- Development of an occupancy prediction model using indoor environmental data based on machine learning techniques
- (2016) Seung Ho Ryu et al. BUILDING AND ENVIRONMENT
- Estimating building energy consumption using extreme learning machine method
- (2016) Sareh Naji et al. ENERGY
- The IMBPC HVAC system: A complete MBPC solution for existing HVAC systems
- (2016) Antonio E. Ruano et al. ENERGY AND BUILDINGS
- Extreme learning machine for prediction of heat load in district heating systems
- (2016) Shahin Sajjadi et al. ENERGY AND BUILDINGS
- A sensor fault detection and diagnosis strategy for screw chiller system using support vector data description-based D -statistic and DV -contribution plots
- (2016) Guannan Li et al. ENERGY AND BUILDINGS
- Fault detection and diagnosis for building cooling system with a tree-structured learning method
- (2016) Dan Li et al. ENERGY AND BUILDINGS
- Applications of machine learning methods to identifying and predicting building retrofit opportunities
- (2016) Daniel E. Marasco et al. ENERGY AND BUILDINGS
- A decision tree based data-driven diagnostic strategy for air handling units
- (2016) Rui Yan et al. ENERGY AND BUILDINGS
- Comparative investigations on reference models for fault detection and diagnosis in centrifugal chiller systems
- (2016) Dinh Anh Tuan Tran et al. ENERGY AND BUILDINGS
- Indoor occupancy estimation from carbon dioxide concentration
- (2016) Chaoyang Jiang et al. ENERGY AND BUILDINGS
- Forecasting diurnal cooling energy load for institutional buildings using Artificial Neural Networks
- (2016) Chirag Deb et al. ENERGY AND BUILDINGS
- Artificial neural network model for forecasting sub-hourly electricity usage in commercial buildings
- (2016) Young Tae Chae et al. ENERGY AND BUILDINGS
- Estimating occupancy in heterogeneous sensor environment
- (2016) Manar Amayri et al. ENERGY AND BUILDINGS
- A data-driven strategy for detection and diagnosis of building chiller faults using linear discriminant analysis
- (2016) Dan Li et al. ENERGY AND BUILDINGS
- Occupancy Estimation Using a Low-Pixel Count Thermal Imager
- (2016) Ash Tyndall et al. IEEE SENSORS JOURNAL
- Intelligent multi-objective control and management for smart energy efficient buildings
- (2016) Pervez Hameed Shaikh et al. INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS
- Artificial Intelligent Models for Improved Prediction of Residential Space Heating
- (2016) Zeyu Wang et al. JOURNAL OF ENERGY ENGINEERING
- Energy planning and forecasting approaches for supporting physical improvement strategies in the building sector: A review
- (2016) Moulay Larbi Chalal et al. RENEWABLE & SUSTAINABLE ENERGY REVIEWS
- Artificial Intelligent Models for Improved Prediction of Residential Space Heating
- (2016) Zeyu Wang et al. JOURNAL OF ENERGY ENGINEERING
- Predictive control of multizone heating, ventilation and air-conditioning systems in non-residential buildings
- (2015) Antoine Garnier et al. APPLIED SOFT COMPUTING
- 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
- Application of multi-objective genetic algorithm to optimize energy efficiency and thermal comfort in building design
- (2015) Wei Yu et al. ENERGY AND BUILDINGS
- A robust online fault detection and diagnosis strategy of centrifugal chiller systems for building energy efficiency
- (2015) Dinh Anh Tuan Tran et al. ENERGY AND BUILDINGS
- Performance analysis of hybrid ground source heat pump systems based on ANN predictive control
- (2014) Wenjie Gang et al. APPLIED ENERGY
- Development of prediction models for next-day building energy consumption and peak power demand using data mining techniques
- (2014) Cheng Fan et al. APPLIED ENERGY
- From hybrid model predictive control to logical control for shading system: A support vector machine approach
- (2014) Khang Le et al. ENERGY AND BUILDINGS
- Modeling heating and cooling loads by artificial intelligence for energy-efficient building design
- (2014) Jui-Sheng Chou et al. ENERGY AND BUILDINGS
- Multi-model prediction and simulation of residential building energy in urban areas of Chongqing, South West China
- (2014) Shazia Farzana et al. ENERGY AND BUILDINGS
- ARX model based fault detection and diagnosis for chillers using support vector machines
- (2014) Ke Yan et al. ENERGY AND BUILDINGS
- A prediction model based on neural networks for the energy consumption of a bioclimatic building
- (2014) R. Mena et al. ENERGY AND BUILDINGS
- Data mining in building automation system for improving building operational performance
- (2014) Fu Xiao et al. ENERGY AND BUILDINGS
- Review of building energy modeling for control and operation
- (2014) Xiwang Li et al. RENEWABLE & SUSTAINABLE ENERGY REVIEWS
- Pattern recognition-based chillers fault detection method using Support Vector Data Description (SVDD)
- (2013) Yang Zhao et al. APPLIED ENERGY
- Fault detection and diagnosis for buildings and HVAC systems using combined neural networks and subtractive clustering analysis
- (2013) Zhimin Du et al. BUILDING AND ENVIRONMENT
- A model-based fault detection and diagnostic methodology based on PCA method and wavelet transform
- (2013) Shun Li et al. ENERGY AND BUILDINGS
- An integrated system for buildings’ energy-efficient automation: Application in the tertiary sector
- (2012) Vangelis Marinakis et al. APPLIED ENERGY
- Accurate quantitative estimation of energy performance of residential buildings using statistical machine learning tools
- (2012) Athanasios Tsanas et al. ENERGY AND BUILDINGS
- Existing building retrofits: Methodology and state-of-the-art
- (2012) Zhenjun Ma 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
- Multiple regression model for fast prediction of the heating energy demand
- (2012) Tiberiu Catalina et al. ENERGY AND BUILDINGS
- A review on the prediction of building energy consumption
- (2012) Hai-xiang Zhao et al. RENEWABLE & SUSTAINABLE ENERGY REVIEWS
- Intelligent Multiagent Control System for Energy and Comfort Management in Smart and Sustainable Buildings
- (2012) Lingfeng Wang et al. IEEE Transactions on Smart Grid
- Use of model predictive control and weather forecasts for energy efficient building climate control
- (2011) Frauke Oldewurtel et al. ENERGY AND BUILDINGS
- Multi-objective optimization for building retrofit strategies: A model and an application
- (2011) Ehsan Asadi et al. ENERGY AND BUILDINGS
- A decision tree method for building energy demand modeling
- (2010) Zhun Yu et al. ENERGY AND BUILDINGS
- A screening methodology for implementing cost effective energy retrofit measures in Canadian office buildings
- (2010) S.E. Chidiac et al. ENERGY AND BUILDINGS
- Life cycle assessment of buildings: A review
- (2010) Aashish Sharma et al. RENEWABLE & SUSTAINABLE ENERGY REVIEWS
- Artificial neural networks for energy analysis of office buildings with daylighting
- (2009) S.L. Wong et al. APPLIED ENERGY
- A hybrid decision support system for sustainable office building renovation and energy performance improvement
- (2009) Yi-Kai Juan et al. ENERGY AND BUILDINGS
- GA-based decision support system for housing condition assessment and refurbishment strategies
- (2008) Yi-Kai Juan et al. AUTOMATION IN CONSTRUCTION
- Energy-savings predictions for building-equipment retrofits
- (2008) Melek Yalcintas ENERGY AND BUILDINGS
- A review on buildings energy consumption information
- (2007) Luis Pérez-Lombard et al. ENERGY AND BUILDINGS
Publish scientific posters with Peeref
Peeref publishes scientific posters from all research disciplines. Our Diamond Open Access policy means free access to content and no publication fees for authors.
Learn MoreBecome a Peeref-certified reviewer
The Peeref Institute provides free reviewer training that teaches the core competencies of the academic peer review process.
Get Started