Ying Ji
- (2025): Research on Real-Time Energy Consumption Prediction Method and Characteristics of Office Buildings Integrating Occupancy and Meteorological Data. In: Buildings, v. 15, n. 3 (21 Januar 2025).
- (2024): Understanding patterns of adaptive comfort behavior in university graduate research offices–––A case study of a university in Beijing. In: Energy and Buildings, v. 307 (März 2024).
- (2024): A study on carbon emission calculation in operation stage of residential buildings based on micro electricity usage behavior: Three case studies in China. In: Building Simulation, v. 17, n. 1 (Januar 2024).
- (2023): Building energy efficiency and COVID-19 infection risk: Lessons from office room management. In: Building Simulation, v. 16, n. 8 (Juni 2023).
- (2023): An Electricity Consumption Disaggregation Method for HVAC Terminal Units in Sub-Metered Buildings Based on CART Algorithm. In: Buildings, v. 13, n. 4 (24 März 2023).
- (2023): A Fast Method for Calculating the Impact of Occupancy on Commercial Building Energy Consumption. In: Buildings, v. 13, n. 2 (14 Februar 2023).
- (2022): Study of ultra-light modular phase change cooling clothing based on dynamic human thermal comfort modeling. In: Building and Environment, v. 222 (August 2022).
- (2015): Model Based Indirect Submetering Method of HVAC End-use in Existing Office Building. In: Procedia Engineering, v. 121 ( 2015).
- (2022): Optimization of COVID-19 prevention and control with low building energy consumption. In: Building and Environment, v. 219 (Juli 2022).
- (2022): Development of a key-variable-based parallel HVAC energy predictive model. In: Building Simulation, v. 15, n. 7 (18 Februar 2022).
- (2022): Residential wintry thermal comfort and adaptive behaviors in a cold climate in Beijing, China. In: Energy and Buildings, v. 265 (Juni 2022).
- (2021): Research on residential thermal environment differences in relation to transition and heating periods in Beijing. In: Building and Environment, v. 197 (Juni 2021).
- (2021): Exploring potential for residential energy saving in New York using developed lightweight prototypical building models based on survey data in the past decades. In: Sustainable Cities and Society, v. 66 (März 2021).
- (2020): Using long short-term memory networks to predict energy consumption of air-conditioning systems. In: Sustainable Cities and Society, v. 55 (April 2020).
- (2020): Evaluation of the dynamic energy performance gap of green buildings: Case studies in China. In: Building Simulation, v. 13, n. 6 (August 2020).
- (2015): HVAC terminal hourly end-use disaggregation in commercial buildings with Fourier series model. In: Energy and Buildings, v. 97 (Juni 2015).
- (2016): Experimental study on the effectiveness of internal shading devices. In: Energy and Buildings, v. 111 (Januar 2016).
- (2017): A transient model for the thermal inertia of chilled-water systems during demand response. In: Energy and Buildings, v. 150 (September 2017).
- (2019): Estimating demand response potential under coupled thermal inertia of building and air-conditioning system. In: Energy and Buildings, v. 182 (Januar 2019).
Structurae kooperiert mit
