- Physics-based modeling of electricity load profile of commercial building stock considering building system composition and occupancy profile. In: Energy and Buildings, v. 304 (Februar 2024). (2024):
- Multi-scale UBEM-BIPV coupled approach for the assessment of carbon neutrality of commercial building stock. In: Energy and Buildings, v. 291 (Juli 2023). (2023):
- Modeling of occupant behavior considering spatial variation: Geostatistical analysis and application based on American time use survey data. In: Energy and Buildings, v. 281 (Februar 2023). (2023):
- Impact of the pre-simulation process of occupant behaviour modelling for residential energy demand simulations. In: Journal of Building Performance Simulation, v. 15, n. 3 (22 März 2022). (2022):
- A stochastic model to predict occupants’ activities at home for community-/urban-scale energy demand modelling. In: Journal of Building Performance Simulation, v. 10, n. 5-6 (Oktober 2017). (2017):
- District-scale simulation for multi-purpose evaluation of urban energy systems. In: Journal of Building Performance Simulation, v. 3, n. 4 (Dezember 2010). (2010):
- Energy saving potential of office equipment power management. In: Energy and Buildings, v. 36, n. 9 (September 2004). (2004):
- Verification of the energy-saving effect of the district heating and cooling system—Simulation of an electric-driven heat pump system. In: Energy and Buildings, v. 40, n. 5 (Januar 2008). (2008):
- Energy saving potential of cooperative management between DHC plant and building HVAC system. In: Energy and Buildings, v. 55 (Dezember 2012). (2012):
- Estimation of the contribution of the residential sector to summer peak demand reduction in Japan using an energy end-use simulation model. In: Energy and Buildings, v. 112 (Januar 2016). (2016):
- Strategies for a sustainable campus in Osaka University. In: Energy and Buildings, v. 147 (Juli 2017). (2017):
- Energy management for voltage control in a net-zero energy house community considering appliance operation constraints and variety of households. In: Energy and Buildings, v. 147 (Juli 2017). (2017):
- Stock modelling of HVAC systems in Japanese commercial building sector using logistic regression. In: Energy and Buildings, v. 152 (Oktober 2017). (2017):
- Urban building energy modeling considering the heterogeneity of HVAC system stock: A case study on Japanese office building stock. In: Energy and Buildings, v. 207 (Januar 2020). (2020):
- Urban building energy modeling considering the heterogeneity of HVAC system stock: A case study on Japanese office building stock. In: Energy and Buildings, v. 199 (September 2019). (2019):
- Reduction potential of operational carbon dioxide emission of Nakanoshima business/cultural area as a model for low-carbon districts in warm climates. In: Building and Environment, v. 59 (Januar 2013). (2013):
- Verification of energy efficiency of district heating and cooling system by simulation considering design and operation parameters. In: Building and Environment, v. 43, n. 4 (April 2008). (2008):
- Residential end-use energy simulation at city scale. In: Building and Environment, v. 39, n. 8 (August 2004). (2004):
- Adaptation measures for climate change and the urban heat island in Japan's built environment. In: Building Research & Information, v. 31, n. 3-4 ( 2003). (2003):
- Field Study and Modeling of Semi-Transparent PV in Power, Thermal and Optical Aspects. In: Journal of Asian Architecture and Building Engineering, v. 4, n. 2 (November 2005). (2005):