Publications
Whole-process AI in building applications: A framework of integrating AI with domain knowledge
Da Yan*, Bing Dong, Zheng O’Neill, Zhe Chen, Xiao Wang, Zixin Jiang, Ruizhi Song, Xuyuan Kang, Xin Zhou
A whole-process framework for integrating domain knowledge throughout AI applications in building energy and environmental systems.
A meta energy model-based transfer learning methodology in cooling load predictions: Office building case study
Jiakai Liu, Yongbao Chen*, Jie Yang, Weidong Wu, Zhe Chen
A transfer learning methodology based on a meta energy model for cooling load prediction under data scarcity.
Probabilistic building energy savings verification via triplet network-based adaptive reference day selection
Ziwei Xiao, Jing Zhang, Zhe Chen, Fu Xiao*
Probabilistic building energy savings verification using triplet network-based adaptive reference day selection.
Towards transformer winding deformation fault diagnosis under data scarcity: Integrating frequency response analysis with metric learning
Yu Chen, Zhe Chen, Yuxuan Ding, Yaping Du*, Binghao Li, Jiangnan Liu, Chakhung Yeung, Chenguo Yao, Zhongyong Zhao
A metric learning framework integrating frequency response analysis for transformer winding deformation fault diagnosis under data scarcity.
Development and validation of a data quality assessment framework for machine learning-based building load prediction
Ce Han, Yongbao Chen*, Huilong Wang, Sicheng Zhan, Zhe Chen
A framework for assessing data quality in machine learning-based building load prediction.
Multi-objective online optimization of building energy systems for improved control smoothness and efficiency
Zhe Chen, Fu Xiao*, Yongbao Chen
Online optimization for building energy systems with explicit attention to control smoothness and operational efficiency.
Investigation on electricity flexibility and demand-response strategies for grid-interactive buildings
Haiyang Yuan, Yongbao Chen*, Zhe Chen
Investigation of electricity flexibility characteristics and demand-response control strategies for grid-interactive buildings.
Bridging the gap between data-driven baselines and energy saving uncertainty for building retrofit
Zhe Chen, Fu Xiao*, Ziwei Xiao, Yongbao Chen
A study on uncertainty-aware energy-saving estimation using data-driven baselines for building retrofit.
Physically consistent data-driven optimal sequencing strategy for variable speed pumps in large building chiller plants
Zhe Chen, Jing Zhang, Fu Xiao*, Kan Xu, Yongbao Chen
A physically consistent data-driven strategy for variable speed pump sequencing in large chiller plants.
Probabilistic ultra-short-term solar photovoltaic power forecasting using natural gradient boosting with attention-enhanced neural networks
Zhe Song, Fu Xiao*, Zhe Chen, Henrik Madsen
Probabilistic ultra-short-term solar photovoltaic power forecasting with natural gradient boosting and attention-enhanced neural networks.
Risk-aware optimal dispatch of resource aggregators integrating NGBoost-based probabilistic renewable forecasting and bi-level building flexibility engagements
Hong Tang, Zhe Chen, Hangxin Li, Shengwei Wang*
Risk-aware optimal dispatch integrating renewable forecasting and building flexibility engagement.
Sensitivity analysis of physical regularization in physics-informed neural networks (PINNs) of building thermal modeling
Yongbao Chen*, Huilong Wang*, Zhe Chen
Sensitivity analysis of physical regularization in PINN-based building thermal modeling.
An AI-enabled optimal control strategy utilizing dual-horizon load predictions for large building cooling systems and its cloud-based implementation
Ziwei Xiao, Jing Zhang*, Fu Xiao*, Zhe Chen, Kan Xu, P. M. So, K. T. Lau
AI-enabled optimal control with dual-horizon load predictions and cloud-based implementation for large building cooling systems.
Development of a probabilistic cooling load prediction-based robust chiller sequencing strategy and its real-world implementation
Zhe Chen, Jing Zhang, Fu Xiao*, Kan Xu, Yongbao Chen
A robust chiller sequencing strategy based on probabilistic cooling load prediction and real-world implementation.
Probabilistic machine learning for enhanced chiller sequencing: A risk-based control strategy
Zhe Chen, Jing Zhang, Fu Xiao*, Henrik Madsen, Kan Xu
Risk-based chiller sequencing using probabilistic machine learning.
Semantic model-based large-scale deployment of AI-driven building management applications
Kan Xu, Zhe Chen, Fu Xiao*, Jing Zhang, Hanbei Zhang, Tianyou Ma
Semantic model-based large-scale deployment of AI-driven building management applications.
Design information-assisted graph neural network for modeling central air conditioning systems
Ao Li, Jing Zhang, Fu Xiao*, Cheng Fan, Yantao Yu, Zhe Chen
Graph neural network modeling for central air conditioning systems assisted by design information.
Similarity learning-based fault detection and diagnosis in building HVAC systems with limited labeled data
Zhe Chen, Fu Xiao*, Fangzhou Guo
Similarity learning for HVAC fault detection and diagnosis under limited labeled data.
Physics-informed neural networks for building thermal modeling and demand response control
Yongbao Chen*, Qiguo Yang*, Zhe Chen, Chengchu Yan, Shu Zeng, Mingkun Dai
Physics-informed neural networks for building thermal modeling and demand response control.
Interpretable machine learning for building energy management: A state-of-the-art review
Zhe Chen, Fu Xiao*, Fangzhou Guo, Jinyue Yan
A state-of-the-art review of interpretable machine learning for building energy management, recognized with a highly cited paper award.
Short-term load forecasting for multiple buildings: A length sensitivity-based approach
Yongbao Chen, Zhe Chen*
A length sensitivity-based approach for short-term load forecasting across multiple buildings.
Optimal control strategies for demand response in buildings under penetration of renewable energy
Yongbao Chen*, Zhe Chen, Xiaolei Yuan, Lin Su, Kang Li*
Optimal control strategies for building demand response under renewable energy penetration.
Physical energy and data-driven models in building energy prediction: A review
Yongbao Chen*, Mingyue Guo, Zhisen Chen, Zhe Chen*, Ying Ji
A review of physical energy and data-driven models in building energy prediction, recognized as an ESI hot paper and highly cited paper.
An interpretable method for identifying mislabeled commercial building based on temporal feature extraction and ensemble classifier
Tong Xiao, Peng Xu*, Renrong Ding, Zhe Chen
An interpretable method for mislabeled commercial building identification.
Multi-objective residential load scheduling approach for demand response in smart grid
Zhe Chen, Yongbao Chen*, Ruikai He, Jingnan Liu, Ming Gao, Lixin Zhang
A multi-objective load scheduling approach for demand response in smart grids, nominated for the Eni Award 2023.
A novel short-term load forecasting framework based on time-series clustering and early classification algorithm
Zhe Chen, Yongbao Chen*, Tong Xiao, Huilong Wang, Pengwei Hou
Short-term load forecasting using time-series clustering and early classification.
Dynamic modeling of solar-assisted ground source heat pump using Modelica
Yongbao Chen*, Zhisen Chen, Zhe Chen, Xiaolei Yuan
Dynamic modeling of a solar-assisted ground source heat pump system using Modelica.
Data mining algorithm and framework for identifying HVAC control strategies in large commercial buildings
Zhe Chen, Peng Xu*, Fan Feng, Yifan Qiao, Wei Luo
A data mining framework for identifying HVAC control strategies in large commercial buildings.
Experimental investigation of demand response potential of buildings: Combined passive thermal mass and active storage
Yongbao Chen, Peng Xu*, Zhe Chen, Hongxin Wang, Huajing Sha, Ying Ji, Yongming Zhang, Qiang Dou, Sheng Wang
Experimental investigation of building demand response potential using passive thermal mass and active storage.
Short-term metropolitan-scale electric load forecasting based on load decomposition and ensemble algorithms
Yiyi Chu, Peng Xu*, Mengxi Li, Zhe Chen, Zhibo Chen, Yongbao Chen, Weilin Li
Metropolitan-scale electric load forecasting using load decomposition and ensemble algorithms.
Quantification of electricity flexibility in demand response: Office building case study
Yongbao Chen, Zhe Chen, Peng Xu*, Weilin Li, Huajing Sha, Zhiwei Yang, Guowen Li, Chonghe Hu
Quantification of electricity flexibility for demand response in an office building case study.
A simplified HVAC energy prediction method based on degree-day
Huajing Sha, Peng Xu*, Chonghe Hu, Zhiling Li, Yongbao Chen, Zhe Chen
A simplified degree-day method for HVAC energy prediction.
Extracting typical occupancy data of different buildings from mobile positioning data
Jiefan Gu, Peng Xu*, Zhihong Pang, Yongbao Chen, Ying Ji, Zhe Chen
Extraction of typical occupancy data from mobile positioning data for different buildings.