A hybrid ensemble learning framework for zero-energy potential prediction of photovoltaic direct-driven air conditioners DOI
Chujie Lu, Sihui Li, Junhua Gu

et al.

Journal of Building Engineering, Journal Year: 2022, Volume and Issue: 64, P. 105602 - 105602

Published: Nov. 24, 2022

Language: Английский

A systematic review and comprehensive analysis of building occupancy prediction DOI
Tao Li, Xiangyu Liu, Guannan Li

et al.

Renewable and Sustainable Energy Reviews, Journal Year: 2024, Volume and Issue: 193, P. 114284 - 114284

Published: Jan. 16, 2024

Language: Английский

Citations

21
Optimization and prediction of energy consumption, light and thermal comfort in teaching building atriums using NSGA-II and machine learning DOI
Zhengshu Chen,

Yanqiu Cui,

Haichao Zheng

et al.

Journal of Building Engineering, Journal Year: 2024, Volume and Issue: 86, P. 108687 - 108687

Published: Jan. 30, 2024

Language: Английский

Citations

19
Acoustic Insulation Optimization of Walls and Panels with Functional Graded Hollow Sections Using Graph Transformer Evaluator and Probability-Informed Genetic Algorithm DOI Creative Commons
Hanmo Wang, Tam H. Nguyen, Zhong-Rong Lu

et al.

Building and Environment, Journal Year: 2025, Volume and Issue: unknown, P. 112550 - 112550

Published: Jan. 1, 2025

Language: Английский

Citations

2
Attention-LSTM architecture combined with Bayesian hyperparameter optimization for indoor temperature prediction DOI

Ben Jiang,

Hongwei Gong,

Haosen Qin

et al.

Building and Environment, Journal Year: 2022, Volume and Issue: 224, P. 109536 - 109536

Published: Aug. 30, 2022

Language: Английский

Citations

51
Building Energy Prediction Models and Related Uncertainties: A Review DOI Creative Commons
Jiaqi Yu, Wen‐Shao Chang, Yu Dong

et al.

Buildings, Journal Year: 2022, Volume and Issue: 12(8), P. 1284 - 1284

Published: Aug. 21, 2022

Building energy usage has been an important issue in recent decades, and prediction models are tools for analysing this problem. This study provides a comprehensive review of building uncertainties the models. First, paper introduces three types methods: white-box models, black-box grey-box The principles, strengths, shortcomings, applications every model discussed systematically. Second, analyses terms human, building, weather factors. Finally, research gaps predicting consumption summarised order to guide optimisation methods.

Language: Английский

Citations

48
A spatial-temporal layer-wise relevance propagation method for improving interpretability and prediction accuracy of LSTM building energy prediction DOI
Guannan Li, Fan Li,

Chengliang Xu

et al.

Energy and Buildings, Journal Year: 2022, Volume and Issue: 271, P. 112317 - 112317

Published: July 16, 2022

Language: Английский

Citations

45
Data-driven prediction and optimization of residential building performance in Singapore considering the impact of climate change DOI
Hainan Yan,

Guohua Ji,

Ke Yan

et al.

Building and Environment, Journal Year: 2022, Volume and Issue: 226, P. 109735 - 109735

Published: Oct. 28, 2022

Language: Английский

Citations

42
A dynamic intelligent building retrofit decision-making model in response to climate change DOI

Dingyuan Ma,

Xiaodong Li, Borong Lin

et al.

Energy and Buildings, Journal Year: 2023, Volume and Issue: 284, P. 112832 - 112832

Published: Jan. 31, 2023

Language: Английский

Citations

32
Utilizing interpretable stacking ensemble learning and NSGA-III for the prediction and optimisation of building photo-thermal environment and energy consumption DOI

Yeqin Shen,

Yubing Hu, Kai Cheng

et al.

Building Simulation, Journal Year: 2024, Volume and Issue: 17(5), P. 819 - 838

Published: Feb. 23, 2024

Language: Английский

Citations

10
A multi-objective optimization framework for performance-based building design considering the interplay between buildings and urban environments DOI

Zhaoyang Qiu,

Qiaoqiao Yong,

Jiayuan Wang

et al.

Energy Conversion and Management, Journal Year: 2024, Volume and Issue: 315, P. 118793 - 118793

Published: July 15, 2024

Language: Английский

Citations

9