Shohei Miyata 
- (2024): Model-based optimal control strategy for multizone VAV air-conditioning systems for neutralizing room pressure and minimizing fan energy consumption. In: 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. In: Journal of Building Engineering, v. 87 (Juni 2024).
- (2023): Interpretable deep learning for hourly solar radiation prediction: A real measured data case study in Tokyo. In: Journal of Building Engineering, v. 79 (November 2023).
- (2023): Automated fault detection and diagnosis of chiller water plants based on convolutional neural network and knowledge distillation. In: Building and Environment, v. 245 (November 2023).
- (2023): Spatio-temporal interpretable neural network for solar irradiation prediction using transformer. In: Energy and Buildings, v. 297 (Oktober 2023).
- (2023): Improving training efficiency for scalable automated fault detection and diagnosis in chilled water plants by transfer learning. In: Energy and Buildings, v. 285 (April 2023).
- (2023): Model predictive control of a building renewable energy system based on a long short-term hybrid model. In: Sustainable Cities and Society, v. 89 (Februar 2023).
- (2022): Methodology of evaluating the sewage heat utilization potential by modelling the urban sewage state prediction model. In: 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. In: Science and Technology for the Built Environment, v. 26, n. 1 (2 Januar 2020).
- (2020): Optimal set-point regulation in HVAC system for controllability and energy efficiency. In: Advances in Building Energy Research, v. 14, n. 2 (April 2020).
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