Shohei Miyata 
- (2024): Model-based optimal control strategy for multizone VAV air-conditioning systems for neutralizing room pressure and minimizing fan energy consumption. Dans: Building and Environment, v. 256 (mai 2024).
- (2024): Design–operation gap caused by parameter variance in HVAC system control sequences: A simulation-based study on energy efficiency and temperature controllability. Dans: Journal of Building Engineering, v. 87 (juin 2024).
- (2023): Interpretable deep learning for hourly solar radiation prediction: A real measured data case study in Tokyo. Dans: Journal of Building Engineering, v. 79 (novembre 2023).
- (2023): Automated fault detection and diagnosis of chiller water plants based on convolutional neural network and knowledge distillation. Dans: Building and Environment, v. 245 (novembre 2023).
- (2023): Spatio-temporal interpretable neural network for solar irradiation prediction using transformer. Dans: Energy and Buildings, v. 297 (octobre 2023).
- (2023): Improving training efficiency for scalable automated fault detection and diagnosis in chilled water plants by transfer learning. Dans: Energy and Buildings, v. 285 (avril 2023).
- (2023): Model predictive control of a building renewable energy system based on a long short-term hybrid model. Dans: Sustainable Cities and Society, v. 89 (février 2023).
- (2022): Methodology of evaluating the sewage heat utilization potential by modelling the urban sewage state prediction model. Dans: Sustainable Cities and Society, v. 80 (mai 2022).
- (2020): Fault detection and diagnosis for heat source system using convolutional neural network with imaged faulty behavior data. Dans: Science and Technology for the Built Environment, v. 26, n. 1 (2 janvier 2020).
- (2020): Optimal set-point regulation in HVAC system for controllability and energy efficiency. Dans: Advances in Building Energy Research, v. 14, n. 2 (avril 2020).
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