Jingjing An 
- (2024): Numerical study on the coupling effect of river attributes and riverside building forms on the urban microclimate: A case study in Nanjing, China. In: Sustainable Cities and Society, v. 107 (Juli 2024).
- (2024): A Data-Mining-Based Novel Approach to Analyze the Impact of the Characteristics of Urban Ventilation Corridors on Cooling Effect. In: Buildings, v. 14, n. 2 (1 Februar 2024).
- (2024): A novel physical-feature-based approach for stochastic simulation of typical building electricity use profiles. In: Energy and Buildings, v. 302 (Januar 2024).
- (2023): Analysis of Cooling Load Characteristics in Chinese Residential Districts for HVAC System Design. In: Buildings, v. 13, n. 10 (10 Oktober 2023).
- (2023): Acceleration of state–space method based on parallelization for enhancing building thermal process simulation efficiency. In: Energy and Buildings, v. 299 (November 2023).
- (2023): Chinese prototype building models for simulating the energy performance of the nationwide building stock. In: Building Simulation, v. 16, n. 8 (Juni 2023).
- (2023): A novel approach to examining the optimal use of the cooling effect of water bodies in urban planning. In: Building and Environment, v. 243 (September 2023).
- (2023): A Novel Response Factor-Based Method for In Situ Measurement of Wall Thermal Resistance. In: Buildings, v. 13, n. 8 (2 August 2023).
- (2023): A novel AC turning on behavior model based on survival analysis. In: Building Simulation, v. 16, n. 7 (Juni 2023).
- (2023): A global typical meteorological year (TMY) database on ERA5 dataset. In: Building Simulation, v. 16, n. 6 (März 2023).
- (2023): Application-driven level-of-detail modeling framework for occupant air-conditioning behavior in district cooling. In: Journal of Building Engineering, v. 70 (Juli 2023).
- (2023): Deep Reinforcement Learning-Based Joint Optimization Control of Indoor Temperature and Relative Humidity in Office Buildings. In: Buildings, v. 13, n. 2 (14 Februar 2023).
- (2022): A novel approach of day-ahead cooling load prediction and optimal control for ice-based thermal energy storage (TES) system in commercial buildings. In: Energy and Buildings, v. 275 (November 2022).
- (2022): DeST 3.0: A new-generation building performance simulation platform. In: Building Simulation, v. 15, n. 11 (Juni 2022).
- (2022): Generation and verification of vertical meteorological data for building energy simulation from a 325-meter Beijing meteorological tower. In: Energy and Buildings, v. 262 (Mai 2022).
- (2022): Co-Simulation of Dynamic Underground Heat Transfer with Building Energy Modeling based on Equivalent Slab Method. In: Energy and Buildings, v. 256 (Februar 2022).
- (2021): Building occupancy forecasting: A systematical and critical review. In: Energy and Buildings, v. 251 (November 2021).
- (2021): Comparison of different machine learning algorithms for predicting air-conditioning operating behavior in open-plan offices. In: Energy and Buildings, v. 251 (November 2021).
- (2021): Predicting open-plan office window operating behavior using the random forest algorithm. In: Journal of Building Engineering, v. 42 (Oktober 2021).
- (2020): Evaluation of thermal imbalance of ground source heat pump systems in residential buildings in China. In: Building Simulation, v. 13, n. 3 (April 2020).
- (2020): A data-driven model predictive control for lighting system based on historical occupancy in an office building: Methodology development. In: Building Simulation, v. 14, n. 1 (November 2020).
- (2020): Appliance use behavior modelling and evaluation in residential buildings: A case study of television energy use. In: Building Simulation, v. 13, n. 4 (Juni 2020).
- (2020): Advanced data analytics for enhancing building performances: From data-driven to big data-driven approaches. In: Building Simulation, v. 14, n. 1 (November 2020).
- (2018): Comparative study of air-conditioning energy use of four office buildings in China and USA. In: Energy and Buildings, v. 169 (Juni 2018).
- (2018): Clustering and statistical analyses of air-conditioning intensity and use patterns in residential buildings. In: Energy and Buildings, v. 174 (September 2018).
- (2020): Global comparison of building energy use data within the context of climate change. In: Energy and Buildings, v. 226 (November 2020).
- (2020): An improved method for direct incident solar radiation calculation from hourly solar insolation data in building energy simulation. In: Energy and Buildings, v. 227 (November 2020).
- (2019): Investigation and analysis of Chinese residential building occupancy with large-scale questionnaire surveys. In: Energy and Buildings, v. 193 (Juni 2019).
- (2019): Building Blocks Energy Estimation (BBEE): A method for building energy estimation on district level. In: Energy and Buildings, v. 185 (Februar 2019).
- (2020): Modelling urban-scale occupant behaviour, mobility, and energy in buildings: A survey. In: Building and Environment, v. 183 (Oktober 2020).
Structurae kooperiert mit
