Yasunori Akashi 
- (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): Bayesian prediction model of thermally satisfied occupants considering stochasticity due to inter- and intra-individual thermal sensation variations. Dans: Journal of Building Engineering, v. 52 (juillet 2022).
- (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).
- (2007): Energy performance of a cooling plant system using the inverter chiller for industrial building. Dans: Energy and Buildings, v. 39, n. 3 (mars 2007).
- (2007): Effects of utilizing seawater as a cooling source system in a commercial complex. Dans: Energy and Buildings, v. 39, n. 10 (octobre 2007).
- (2008): A development of easy-to-use tool for fault detection and diagnosis in building air-conditioning systems. Dans: Energy and Buildings, v. 40, n. 2 (janvier 2008).
- (2008): A study on the energy performance of a cooling plant system: Air-conditioning in a semiconductor factory. Dans: Energy and Buildings, v. 40, n. 8 (janvier 2008).
- (2014): Installed capacity optimization of distributed energy resource systems for residential buildings. Dans: Energy and Buildings, v. 69 (février 2014).
- (2018): Hierarchical Bayesian modeling for predicting ordinal responses of personalized thermal sensation: Application to outdoor thermal sensation data. Dans: Building and Environment, v. 142 (septembre 2018).
- (2017): A probabilistic approach to the energy-saving potential of natural ventilation: Effect of approximation method for approaching wind velocity. Dans: Building and Environment, v. 122 (septembre 2017).
- (2017): A simplified model for dynamic analysis of the indoor thermal environment of rooms with a Chinese kang. Dans: Building and Environment, v. 111 (janvier 2017).
- (2012): Optimization of passive design measures for residential buildings in different Chinese areas. Dans: Building and Environment, v. 58 (décembre 2012).
- (2003): Energy and Cost Performance of a Cooling Plant System with Indirect Seawater Utilization for Air-Conditioning in a Commercial Building. Dans: Journal of Asian Architecture and Building Engineering, v. 2, n. 1 (mai 2003).
- (2017): Low cost humidity controlled air-conditioning system for building energy savings in tropical climate. Dans: Journal of Building Engineering, v. 11 (mai 2017).
Structurae coopère avec
