Huanxin Chen

发表

A hybrid data mining approach for anomaly detection and evaluation in residential buildings energy data

Chengliang Xu, Huanxin Chen, Huanxin Chen, 2020 .

The evolution of cooperation based on indirect reciprocity and spatial locality in continuous space

Reiji Suzuki, Takaya Arita, Huanxin Chen, 2020, Artificial Life and Robotics.

Database Resources of the BIG Data Center in 2018

Yang Zhang, Zhang Zhang, Mingming Lu, 2017, Nucleic Acids Res..

Corrigendum to “A novel efficient optimization algorithm for parameter estimation of building thermal dynamic models” [Build. Environ. 153 (2019) 233–240]

Yao Huang, Jiangyu Wang, Yue Yuan, 2020 .

Abnormal energy consumption detection for GSHP system based on ensemble deep learning and statistical modeling method

Chengliang Xu, Huanxin Chen, Huanxin Chen, 2020 .

Study on deep reinforcement learning techniques for building energy consumption forecasting

Zhengfei Li, Tao Liu, Chengliang Xu, 2020 .

An online compressor liquid floodback fault diagnosis method for variable refrigerant flow air conditioning system

Jiangyu Wang, Chengliang Xu, Huanxin Chen, 2020 .

Artificial intelligence in sustainable energy industry: Status Quo, challenges and opportunities

Yonghua Song, Tanveer Ahmad, Hongcai Zhang, 2021, Journal of Cleaner Production.

Fault diagnosis method for building VRF system based on convolutional neural network: Considering system defrosting process and sensor fault coupling

Guannan Li, Huanxin Chen, Hanlu Zhong, 2021 .

Research on diagnostic strategy for faults in VRF air conditioning system using hybrid data mining methods

Zhengfei Li, Limei Shen, Huanxin Chen, 2021 .

Fault diagnosis model of refrigeration system combining Boruta and LightGBM methods for energy saving

Zhengfei Li, Huanxin Chen, Qian Liu, 2021 .

Data-driven fault diagnosis for residential variable refrigerant flow system on imbalanced data environments

Guannan Li, Huanxin Chen, Hanlu Zhong, 2021 .

Nonlinear autoregressive and random forest approaches to forecasting electricity load for utility energy management systems

Tanveer Ahmad, Huanxin Chen, Tanveer Ahmad, 2019, Sustainable Cities and Society.

Short and medium-term forecasting of cooling and heating load demand in building environment with data-mining based approaches

Tanveer Ahmad, Huanxin Chen, Tanveer Ahmad, 2018 .

Deployment of data-mining short and medium-term horizon cooling load forecasting models for building energy optimization and management

Tanveer Ahmad, Jan Shair, Chengliang Xu, 2019, International Journal of Refrigeration.

Development of a virtual variable-speed compressor power sensor for variable refrigerant flow air conditioning system

Guannan Li, Yunpeng Hu, Limei Shen, 2017 .

Extending the virtual refrigerant charge sensor (VRC) for variable refrigerant flow (VRF) air conditioning system using data-based analysis methods

Jiong Li, Huanxin Chen, Guannan Li, 2016 .

Short-Term Energy Prediction for District-Level Load Management Using Machine Learning Based Approaches

Tanveer Ahmad, Huanxin Chen, Tanveer Ahmad, 2019, Energy Procedia.

Investigation of indoor environmental quality in Shanghai metro stations, China

Zhiwei Lian, Huanxin Chen, Xiaojiang Ye, 2010, Environmental monitoring and assessment.

The impact of trade on fuel-related mercury emissions in Beijing—evidence from three-scale input-output analysis

Qing Yang, Gong Chen, Huanxin Chen, 2017 .

Water source heat pump energy demand prognosticate using disparate data-mining based approaches

Tanveer Ahmad, Jan Shair, Huanxin Chen, 2018, Energy.

Supervised based machine learning models for short, medium and long-term energy prediction in distinct building environment

Tanveer Ahmad, Ronggeng Huang, Jan Shair, 2018, Energy.

The optimization design and parametric study of thermoelectric radiant cooling and heating panel

Limei Shen, Huanxin Chen, Huanxin Chen, 2017 .

Characterizing airflow through fabric air dispersion system using a porous media model

Yunpeng Hu, Huanxin Chen, Junlong Xie, 2011 .

Daily soil temperatures predictions for various climates in United States using data-driven model

Jiangyan Liu, Huanxin Chen, Chen Ren, 2018, Energy.