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

Download Full-text

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

Download Full-text

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

Download Full-text

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

Download Full-text

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

Download Full-text

Data-driven benchmarking of building energy performance at the city scale

Proceedings of the 2nd ACM SIGSPATIAL Workshop on Smart Cities and Urban Analytics - UrbanGIS '16 ◽

10.1145/3007540.3007541 ◽

2016 ◽

Author(s):

Zheng Yang ◽

Jonathan Roth ◽

Rishee K. Jain

Keyword(s):

Building Energy ◽

Energy Performance ◽

Data Driven ◽

Building Energy Performance ◽

Download Full-text

Development of whole-building energy performance models as benchmarks for retrofit projects

Proceedings of the 2011 Winter Simulation Conference (WSC) ◽

10.1109/wsc.2011.6147810 ◽

2011 ◽

Author(s):

Omer Tugrul Karaguzel ◽

Khee Poh Lam

Keyword(s):

Building Energy ◽

Energy Performance ◽

Performance Models ◽

Building Energy Performance

Download Full-text

Sensitivity Analysis of Building Energy Performance Assessment Based on Machine-Learning Models

Environmental Science and Engineering - Proceedings of the 11th International Symposium on Heating, Ventilation and Air Conditioning (ISHVAC 2019) ◽

10.1007/978-981-13-9528-4_41 ◽

2020 ◽

pp. 401-409

Author(s):

Wei Tian ◽

Jiaxin Shi ◽

Pieter de Wilde ◽

Yu Sun ◽

Chuanqi Zhu ◽

...

Keyword(s):

Machine Learning ◽

Sensitivity Analysis ◽

Performance Assessment ◽

Building Energy ◽

Energy Performance ◽

Learning Models ◽

Building Energy Performance ◽

Machine Learning Models

Download Full-text

A Non-Invasive Sensing System for Decoding Occupancy Behaviors Affecting Building Energy Performance

Computing in Civil Engineering 2015 ◽

10.1061/9780784479247.033 ◽

2015 ◽

Author(s):

Triana S. Carmenate ◽

Diana Leante ◽

Sebastian A. Zanlongo ◽

Leonardo Bobadilla ◽

Ali Mostafavi

Keyword(s):

Building Energy ◽

Energy Performance ◽

Building Energy Performance ◽

Non Invasive ◽

Download Full-text

Building energy performance analysis at urban scale: A supporting tool for energy strategies and urban building energy rating identification

Sustainable Cities and Society ◽

10.1016/j.scs.2021.103220 ◽

2021 ◽

pp. 103220

Author(s):

Tullio de Rubeis ◽

Lorenzo Giacchetti ◽

Domenica Paoletti ◽

Dario Ambrosini

Keyword(s):

Performance Analysis ◽

Building Energy ◽

Energy Performance ◽

Building Energy Performance ◽

Supporting Tool ◽

Energy Strategies

Download Full-text

Occupancy data at different spatial resolutions: Building energy performance and model calibration

Applied Energy ◽

10.1016/j.apenergy.2021.116492 ◽

2021 ◽

Vol 286 ◽

pp. 116492

Author(s):

Adrian Chong ◽

Godfried Augenbroe ◽

Da Yan

Keyword(s):

Model Calibration ◽

Building Energy ◽

Energy Performance ◽

Building Energy Performance

Download Full-text