Lu Xing 
- (2024): Configuration method for medium-deep ground source heat pump system considering renewable energy consumption and smart grid interaction. In: Energy and Buildings, v. 318 (September 2024).
- (2024): Energy-saving potential benchmarking method of office buildings based on probabilistic forecast. In: Journal of Building Engineering, v. 95 (Oktober 2024).
- (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).
- (2021): Experimental on repair performance and complete stress-strain curve of self-healing recycled concrete under uniaxial loading. In: Construction and Building Materials, v. 285 (Mai 2021).
- (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).
- (2019): Performance analysis and optimization of a CCHP-GSHP coupling system based on quantum genetic algorithm. In: Sustainable Cities and Society, v. 46 (April 2019).
- (2012): Modeling of foundation heat exchangers—Comparison of numerical and analytical approaches. In: Building Simulation, v. 5, n. 3 (Juli 2012).
- (2017): Prediction of undisturbed ground temperature using analytical and numerical modeling. Part II: Methodology for developing a world-wide dataset. In: Science and Technology for the Built Environment, v. 23, n. 5 (Juni 2017).
- (2017): Prediction of undisturbed ground temperature using analytical and numerical modeling. Part I: Model development and experimental validation. In: Science and Technology for the Built Environment, v. 23, n. 5 (Juni 2017).
- (2017): Prediction of undisturbed ground temperature using analytical and numerical modeling. Part III: Experimental validation of a world-wide dataset. In: Science and Technology for the Built Environment, v. 23, n. 5 (Juni 2017).
- (2016): The performance prediction of ground source heat pump system based on monitoring data and data mining technology. In: Energy and Buildings, v. 127 (September 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): Energy and exergy analysis of a ground source heat pump system for a public building in Wuhan, China under different control strategies. In: Energy and Buildings, v. 152 (Oktober 2017).
- (2020): Self-healing of Concrete Cracks by Immobilizing Microorganisms in Recycled Aggregate. In: Journal of Advanced Concrete Technology, v. 18, n. 4 (15 April 2020).
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