| Successful application of predictive information in deep reinforcement learning control: A case study based on an office building HVAC system Y Gao, S Shi, S Miyata, Y Akashi Energy 291, 130344, 2024 | 27 | 2024 |
| Adversarial discriminative domain adaptation for solar radiation prediction: A cross-regional study for zero-label transfer learning in Japan Y Gao, Z Hu, S Shi, WA Chen, M Liu Applied Energy 359, 122685, 2024 | 18 | 2024 |
| Model-based optimal control strategy for multizone VAV air-conditioning systems for neutralizing room pressure and minimizing fan energy consumption S Shi, S Miyata, Y Akashi, M Momota, T Sawachi, Y Gao Building and Environment 256, 111464, 2024 | 5 | 2024 |
| Phyvac: a Python module for highly flexible HVAC system simulation, and fault dataset generation as an application example S Miyata, S Shi, Y Akashi, T Sawachi Building Simulation 2023 18, 916-923, 2023 | 3 | 2023 |
| Design–operation gap caused by parameter variance in HVAC system control sequences: A simulation-based study on energy efficiency and temperature controllability A Nomura, S Shi, S Miyata, Y Akashi, M Momota, T Sawachi Journal of Building Engineering 87, 109112, 2024 | 2 | 2024 |
| Event-driven model-based optimal demand-controlled ventilation for multizone VAV systems: Enhancing energy efficiency and indoor environmental quality S Shi, S Miyata, Y Akashi Applied Energy 377, 124683, 2025 | | 2025 |
| Model-Based Optimal Control for Multizone VAV Systems Considering Indoor Temperature, CO2, and Pressure Regulation S Shi, S Miyata, Y Akashi Proceedings of ASim Conference 2024: 5th Asia Conference of IBPSA 5, 348--355, 2024 | | 2024 |
| Neutralizing Room Pressure in Multi-Room VAV Systems through Model-Based Static Pressure Reset Control S Shi, S Miyata, Y Akashi, M Momota, T Sawachi Proceedings of Building Simulation 2023: 18th Conference of IBPSA 18, 3231--3238, 2023 | | 2023 |
