Huanxin Chen
- (2024): Experimental studies on performance analysis and cross-equipment parameter comparison of variable refrigerant flow systems under common faults. In: Journal of Building Engineering, v. 86 (Juni 2024).
- (2023): Abnormal energy consumption detection using ensemble model for water chilling unit on HVAC system. In: Energy and Buildings, v. 297 (Oktober 2023).
- (2023): Development of a hybrid VRF system energy consumption prediction model based on data partitioning and swarm intelligence algorithm. In: Journal of Building Engineering, v. 74 (September 2023).
- (2023): Ensemble learning-based approach for residential building heating energy prediction and optimization. In: Journal of Building Engineering, v. 67 (Mai 2023).
- (2023): Experimental research on the performance and parameters sensitivity analysis of variable refrigerant flow system with common faults imposed in heating mode. In: Energy and Buildings, v. 278 (Januar 2023).
- (2022): Integrated generative networks embedded with ensemble classifiers for fault detection and diagnosis under small and imbalanced data of building air condition system. In: Energy and Buildings, v. 268 (August 2022).
- (2021): Fault diagnosis method for building VRF system based on convolutional neural network: Considering system defrosting process and sensor fault coupling. In: Building and Environment, v. 195 (Mai 2021).
- (2019): Nonlinear autoregressive and random forest approaches to forecasting electricity load for utility energy management systems. In: Sustainable Cities and Society, v. 45 (Februar 2019).
- (2021): Data-driven sensitivity analysis and electricity consumption prediction for water source heat pump system using limited information. In: Building Simulation, v. 14, n. 4 (Februar 2021).
- (2020): Investigation of a combined optimization study for global and local cooling of servers. In: Science and Technology for the Built Environment, v. 26, n. 1 (2 Januar 2020).
- (2020): A comparison study of basic data-driven fault diagnosis methods for variable refrigerant flow system. In: Energy and Buildings, v. 224 (Oktober 2020).
- (2011): Characterizing airflow through fabric air dispersion system using a porous media model. In: Energy and Buildings, v. 43, n. 2-3 (Februar 2011).
- (2012): Chiller sensor fault detection using a self-Adaptive Principal Component Analysis method. In: Energy and Buildings, v. 54 (November 2012).
- (2013): Investigation of a novel thermoelectric radiant air-conditioning system. In: Energy and Buildings, v. 59 (April 2013).
- (2020): Ensemble 1-D CNN diagnosis model for VRF system refrigerant charge faults under heating condition. In: Energy and Buildings, v. 224 (Oktober 2020).
- (2016): An improved fault detection method for incipient centrifugal chiller faults using the PCA-R-SVDD algorithm. In: Energy and Buildings, v. 116 (März 2016).
- (2017): An enhanced PCA method with Savitzky-Golay method for VRF system sensor fault detection and diagnosis. In: Energy and Buildings, v. 142 (Mai 2017).
- (2017): Identification and isolation of outdoor fouling faults using only built-in sensors in variable refrigerant flow system: A data mining approach. In: Energy and Buildings, v. 146 (Juli 2017).
- (2017): Optimization of support vector regression model based on outlier detection methods for predicting electricity consumption of a public building WSHP system. In: Energy and Buildings, v. 151 (September 2017).
- (2018): A machine learning bayesian network for refrigerant charge faults of variable refrigerant flow air conditioning system. In: Energy and Buildings, v. 158 (Januar 2018).
- (2018): A comprehensive overview on the data driven and large scale based approaches for forecasting of building energy demand: A review. In: Energy and Buildings, v. 165 (April 2018).
- (2018): Energy diagnosis of variable refrigerant flow (VRF) systems: Data mining technique and statistical quality control approach. In: Energy and Buildings, v. 175 (September 2018).
- (2020): A hybrid data mining approach for anomaly detection and evaluation in residential buildings energy data. In: Energy and Buildings, v. 215 (Mai 2020).
- (2019): Modal decomposition based ensemble learning for ground source heat pump systems load forecasting. In: Energy and Buildings, v. 194 (Juli 2019).
- (2019): An efficient online wkNN diagnostic strategy for variable refrigerant flow system based on coupled feature selection method. In: Energy and Buildings, v. 183 (Januar 2019).
- (2021): New fault diagnostic strategies for refrigerant charge fault in a VRF system using hybrid machine learning method. In: Journal of Building Engineering, v. 33 (Januar 2021).
- (2019): Data-driven model predictive control for building climate control: Three case studies on different buildings. In: Building and Environment, v. 160 (August 2019).
- (2019): A novel efficient optimization algorithm for parameter estimation of building thermal dynamic models. In: Building and Environment, v. 153 (April 2019).
- (2019): Improving prediction performance for indoor temperature in public buildings based on a novel deep learning method. In: Building and Environment, v. 148 (Januar 2019).
- (2011): Air distribution in room ventilated by fabric air dispersion system. In: Building and Environment, v. 46, n. 11 (November 2011).
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