Shunian Qiu 
- (2022): A rule-based data preprocessing framework for chiller rooms inspired by the analysis of engineering big data. Dans: Energy and Buildings, v. 273 (octobre 2022).
- (2022): Comparative Evaluation of Different Multi-Agent Reinforcement Learning Mechanisms in Condenser Water System Control. Dans: Buildings, v. 12, n. 8 (31 juillet 2022).
- (2022): User-friendly fault detection method for building chilled water flowmeters: Field data validation. Dans: Science and Technology for the Built Environment, v. 28, n. 9 (août 2022).
- (2022): Chilled water temperature resetting using model-free reinforcement learning: Engineering application. Dans: Energy and Buildings, v. 255 (janvier 2022).
- (2021): Differential pressure reset strategy based on reinforcement learning for chilled water systems. Dans: Building Simulation, v. 15, n. 2 (août 2021).
- (2019): Data mining based framework to identify rule based operation strategies for buildings with power metering system. Dans: Building Simulation, v. 12, n. 2 (janvier 2019).
- (2020): Model-free optimal chiller loading method based on Q-learning. Dans: Science and Technology for the Built Environment, v. 26, n. 8 (juillet 2020).
- (2018): A quick auto-calibration approach based on normative energy models. Dans: Energy and Buildings, v. 172 (août 2018).
- (2020): Model-free control method based on reinforcement learning for building cooling water systems: Validation by measured data-based simulation. Dans: Energy and Buildings, v. 218 (juillet 2020).
- (2019): Stochastic optimized chiller operation strategy based on multi-objective optimization considering measurement uncertainty. Dans: Energy and Buildings, v. 195 (juillet 2019).
- (2019): An energy exchange efficiency prediction approach based on multivariate polynomial regression for membrane-based air-to-air energy recovery ventilator core. Dans: Building and Environment, v. 149 (février 2019).
- (2018): Application of mobile positioning occupancy data for building energy simulation: An engineering case study. Dans: Building and Environment, v. 141 (août 2018).
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