Fu Xiao 
- (2024): Flexible coupling and grid-responsive scheduling assessments of distributed energy resources within existing zero energy houses. In: Journal of Building Engineering, v. 87 (June 2024).
- (2023): Operational optimization for the grid-connected residential photovoltaic-battery system using model-based reinforcement learning. In: Journal of Building Engineering, v. 73 (August 2023).
- (2023): Modeling and management performances of distributed energy resource for demand flexibility in Japanese zero energy house. In: Building Simulation, v. 16, n. 11 (September 2023).
- (2023): Graph neural network-based spatio-temporal indoor environment prediction and optimal control for central air-conditioning systems. In: Building and Environment, v. 242 (August 2023).
- (2023): Study on the challenge and influence of the built thermal environment on elderly health in rural areas: Evidence from Shandong, China. In: Building Simulation, v. 16, n. 8 (June 2023).
- (2023): Recovering building information model from 2D drawings for mechanical, electrical and plumbing systems of ageing buildings. In: Automation in Construction, v. 152 (August 2023).
- (2023): A multi-agent system based coordinated multi-objective optimal load scheduling strategy using marginal emission factors for building cluster demand response. In: Energy and Buildings, v. 281 (February 2023).
- (2023): A review and reflection on open datasets of city-level building energy use and their applications. In: Energy and Buildings, v. 285 (April 2023).
- (2022): GEIN: An interpretable benchmarking framework towards all building types based on machine learning. In: Energy and Buildings, v. 260 (April 2022).
- (2022): A real-time forecast of tunnel fire based on numerical database and artificial intelligence. In: Building Simulation, v. 15, n. 4 (22 January 2022).
- (2012): Optimization of a liquid desiccant based dedicated outdoor air-chilled ceiling system serving multi-zone spaces. In: Building Simulation, v. 5, n. 3 (July 2012).
- (2021): Perspectives of big experimental database and artificial intelligence in tunnel fire research. In: Tunnelling and Underground Space Technology, v. 108 (February 2021).
- (2020): Identification of simplified energy performance models of variable-speed air conditioners using likelihood ratio test method. In: Science and Technology for the Built Environment, v. 26, n. 1 (2 January 2020).
- (2019): A proactive-adaptive monthly peak demand-limiting strategy for buildings with small-scale thermal storages considering load uncertainty. In: Science and Technology for the Built Environment, v. 25, n. 10 (26 November 2019).
- (2016): Humidity control for the built environment. In: Science and Technology for the Built Environment, v. 23, n. 1 (November 2016).
- (2016): Experimental study of dynamic characteristics of liquid desiccant dehumidification processes. In: Science and Technology for the Built Environment, v. 23, n. 1 (November 2016).
- (2015): Robust optimal design of building cooling systems concerning uncertainties using mini-max regret theory. In: Science and Technology for the Built Environment, v. 21, n. 6 (August 2015).
- (2018): Mining big building operational data for improving building energy efficiency: A case study. In: Building Services Engineering Research and Technology, v. 39, n. 1 (January 2018).
- (2016): Retrofitting building fire service water tanks as chilled water storage for power demand limiting. In: Building Services Engineering Research and Technology, v. 38, n. 1 (December 2016).
- (2016): A model-based adaptive method for evaluating the energy impact of low delta-T syndrome in complex HVAC systems using support vector regression. In: Building Services Engineering Research and Technology, v. 37, n. 5 (August 2016).
- (2010): Performance analysis of liquid desiccant based air-conditioning system under variable fresh air ratios. In: Energy and Buildings, v. 42, n. 12 (December 2010).
- (2011): Experimental study on the effect of magnetic field on the heat conductivity and viscosity of ammonia–water. In: Energy and Buildings, v. 43, n. 5 (May 2011).
- (2012): Neural network based prediction method for preventing condensation in chilled ceiling systems. In: Energy and Buildings, v. 45 (February 2012).
- (2012): A simplified energy performance assessment method for existing buildings based on energy bill disaggregation. In: Energy and Buildings, v. 55 (December 2012).
- (2012): Quantitative energy performance assessment methods for existing buildings. In: Energy and Buildings, v. 55 (December 2012).
- (2013): An intelligent chiller fault detection and diagnosis methodology using Bayesian belief network. In: Energy and Buildings, v. 57 (February 2013).
- (2013): Investigation of a novel thermoelectric radiant air-conditioning system. In: Energy and Buildings, v. 59 (April 2013).
- (2013): In situ performance comparison and evaluation of three chiller sequencing control strategies in a super high-rise building. In: Energy and Buildings, v. 61 (June 2013).
- (2016): Robust optimal design of district cooling systems and the impacts of uncertainty and reliability. In: Energy and Buildings, v. 122 (June 2016).
- (2015): A framework for knowledge discovery in massive building automation data and its application in building diagnostics. In: Automation in Construction, v. 50 (February 2015).
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