Limei Shen 
- (2023): Interpretation of convolutional neural network-based building HVAC fault diagnosis model using improved layer-wise relevance propagation. In: Energy and Buildings, v. 286 (Mai 2023).
- (2021): Research on diagnostic strategy for faults in VRF air conditioning system using hybrid data mining methods. In: Energy and Buildings, v. 247 (September 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).
- (2013): Investigation of a novel thermoelectric radiant air-conditioning system. In: Energy and Buildings, v. 59 (April 2013).
- (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).
- (2016): Performance comparisons of two system sizing approaches for net zero energy building clusters under uncertainties. In: Energy and Buildings, v. 127 (September 2016).
- (2016): Performance evaluation of conventional demand response at building-group-level under different electricity pricings. In: Energy and Buildings, v. 128 (September 2016).
- (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).
Structurae kooperiert mit
