- Individual room air-conditioning control in high-insulation residential building during winter: A deep reinforcement learning-based control model for reducing energy consumption. In: Energy and Buildings, v. 323 (November 2024). (2024):
- (2023): Risk Control of Energy Performance Fluctuation in Multi-Unit Housing for Weather Uncertainty. In: Buildings, v. 13, n. 7 (28 Juni 2023).
- Uncertainty modeling method of weather elements based on deep learning for robust solar energy generation of building. In: Energy and Buildings, v. 266 (Juli 2022). (2022):
- Applicability of phase change material according to climate zones as defined in ASHRAE standard 169-2013. In: Building and Environment, v. 196 (Juni 2021). (2021):
- Anti-insulation mitigation by altering the envelope layers’ configuration. In: Energy and Buildings, v. 141 (April 2017). (2017):
- Experimental analysis of thermal performance in buildings with shape-stabilized phase change materials. In: Energy and Buildings, v. 152 (Oktober 2017). (2017):
- (2021): Multi-phase framework for optimization of thermal and daylight performance of residential buildings based on the combination of ventilation and window design. In: Journal of Asian Architecture and Building Engineering, v. 20, n. 6 (September 2021).
- (2021): Performance of Passive Design Strategies in Hot and Humid Regions. Case study: Tangerang, Indonesia. In: Journal of Asian Architecture and Building Engineering, v. 20, n. 4 (April 2021).
- A new design exploring framework based on sensitivity analysis and Gaussian process regression in the early design stage. In: Journal of Asian Architecture and Building Engineering, v. 20, n. 3 (Oktober 2020). (2020):
- Replacement model of phase change building materials for heat load calculation. In: Japan Architectural Review, v. 3, n. 2 (April 2020). (2020):
- Application of shape-stabilized phase-change material sheets as thermal energy storage to reduce heating load in Japanese climate. In: Building and Environment, v. 125 (November 2017). (2017):