Building Energy Performance Prediction Using Machine Learning: A Data-Driven Decision-Making Framework for Energy Retrofits

Construction Research Congress 2020 ◽

10.1061/9780784482865.047 ◽

2020 ◽

Author(s):

Munahil Murrieum ◽

Amirhosein Jafari ◽

Reza Akhavian

Keyword(s):

Machine Learning ◽

Decision Making ◽

Performance Prediction ◽

Building Energy ◽

Energy Performance ◽

Data Driven ◽

Data Driven Decision Making ◽

Building Energy Performance ◽

Decision Making Framework

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A novel methodology to explain and evaluate data-driven building energy performance models based on interpretable machine learning

Applied Energy ◽

10.1016/j.apenergy.2018.11.081 ◽

2019 ◽

Vol 235 ◽

pp. 1551-1560 ◽

Author(s):

Cheng Fan ◽

Fu Xiao ◽

Chengchu Yan ◽

Chengliang Liu ◽

Zhengdao Li ◽

...

Keyword(s):

Machine Learning ◽

Building Energy ◽

Energy Performance ◽

Data Driven ◽

Performance Models ◽

Building Energy Performance ◽

Interpretable Machine Learning

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A data-driven approach to optimize building energy performance and thermal comfort using machine learning models

Proceedings of the 2021 International Conference on Control and Intelligent Robotics ◽

10.1145/3473714.3473794 ◽

2021 ◽

Author(s):

Ziqi Chen ◽

Zhuoang Tao ◽

Aiwei Chang

Keyword(s):

Machine Learning ◽

Thermal Comfort ◽

Building Energy ◽

Energy Performance ◽

Data Driven ◽

Learning Models ◽

Building Energy Performance ◽

Data Driven Approach ◽

Machine Learning Models

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Data-driven decision making based on evidential reasoning approach and machine learning algorithms

Applied Soft Computing ◽

10.1016/j.asoc.2021.107622 ◽

2021 ◽

pp. 107622

Author(s):

Chao Fu ◽

Che Xu ◽

Min Xue ◽

Weiyong Liu ◽

Shanlin Yang

Keyword(s):

Machine Learning ◽

Decision Making ◽

Learning Algorithms ◽

Machine Learning Algorithms ◽

Evidential Reasoning ◽

Data Driven ◽

Data Driven Decision Making ◽

Evidential Reasoning Approach

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Machine Learning Models for Prediction of Building Energy Performance

Green Energy and Technology - Data-Driven Modelling of Non-Domestic Buildings Energy Performance ◽

10.1007/978-3-030-64751-3_5 ◽

2021 ◽

pp. 77-98

Author(s):

Saleh Seyedzadeh ◽

Farzad Pour Rahimian

Keyword(s):

Machine Learning ◽

Building Energy ◽

Energy Performance ◽

Learning Models ◽

Building Energy Performance ◽

Machine Learning Models

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Building energy performance prediction using neural networks

Energy Efficiency ◽

10.1007/s12053-017-9524-5 ◽

2017 ◽

Vol 10 (5) ◽

pp. 1315-1327 ◽

Author(s):

Andreas Chari ◽

Symeon Christodoulou

Keyword(s):

Neural Networks ◽

Performance Prediction ◽

Building Energy ◽

Energy Performance ◽

Building Energy Performance

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Evaluation procedure for building energy performance prediction tools

10.2172/6321599 ◽

1985 ◽

Author(s):

Not Given Author

Keyword(s):

Performance Prediction ◽

Building Energy ◽

Energy Performance ◽

Evaluation Procedure ◽

Building Energy Performance ◽

Prediction Tools

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Evaluation procedure for building energy performance prediction tools: Accuracy and Home Energy Rating Systems---Issues and recommendations

10.2172/6296366 ◽

1985 ◽

Author(s):

Not Given Author

Keyword(s):

Performance Prediction ◽

Building Energy ◽

Energy Performance ◽

Evaluation Procedure ◽

Rating Systems ◽

Building Energy Performance ◽

Prediction Tools

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Machine learning applications in urban building energy performance forecasting: A systematic review

Renewable and Sustainable Energy Reviews ◽

10.1016/j.rser.2020.110287 ◽

2020 ◽

Vol 133 ◽

pp. 110287

Author(s):

Soheil Fathi ◽

Ravi Srinivasan ◽

Andriel Fenner ◽

Sahand Fathi

Keyword(s):

Machine Learning ◽

Systematic Review ◽

Building Energy ◽

Energy Performance ◽

Building Energy Performance ◽

Machine Learning Applications ◽

Performance Forecasting

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Evaluation procedure for building energy performance prediction tools: Final report

10.2172/6426019 ◽

1988 ◽

Author(s):

Not Given Author

Keyword(s):

Performance Prediction ◽

Building Energy ◽

Energy Performance ◽

Evaluation Procedure ◽

Final Report ◽

Building Energy Performance ◽

Prediction Tools

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A Data-Driven Decision Making Framework for Value-Based Engineering Design of Complex Network Systems

AIAA Aviation 2019 Forum ◽

10.2514/6.2019-3350 ◽

2019 ◽

Author(s):

Syed Arbab Mohd Shihab ◽

Peng Wei ◽

Christina Bloebaum

Keyword(s):

Decision Making ◽

Engineering Design ◽

Complex Network ◽

Data Driven ◽

Network Systems ◽

Data Driven Decision Making ◽

Decision Making Framework

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