赵靖
- 教师名称：赵靖
- 教师拼音名称：Zhao Jing
- 出生日期：1982-11-28
- 性别：女
- 职称：副教授
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- Research on a forecasted load-and time delay-based model predictive control (MPC) district energy system model
- Study on heat transfer delay of exposed capillary ceiling radiant panels (E-CCRP) system based on CFD method
- A hybrid method of dynamic cooling and heating load forecasting for office buildings based on artificial intelligence and regression analysis
- Multi-objective optimization design for windows and shading configuration considering energy consumption and thermal comfort: A case study for office building in different climatic regions of China
- Suitability assessment of building energy saving technologies for office buildings in cold areas of China based on an assessment framework
- A Fuzzy Control Strategy Using the Load Forecast for Air Conditioning System
- Study on the policy of replacing coal-fired boilers with gas-fired boilers for central heating based on the 3E system and the TOPSIS method: A case in Tianjin, China
- A Study on Energy-Saving Technologies Optimization towards Nearly Zero Energy Educational Buildings in Four Major Climatic Regions of China
- An Influencing Parameters Analysis of District Heating Network Time Delays Based on the CFD Method
- Uncertainty Analysis of Weather Forecast Data for Cooling Load Forecasting Based on the Monte Carlo Method
- Optimization of Passive Envelop Energy Efficient Measures for Office Buildings in Different Climate Regions of China Based on Modified Sensitivity Analysis
- Analysis and optimization of carbon trading mechan. Analysis and optimization of carbon trading mechanism for renewable energy application in buildings
- Energy consumption comparison analysis of high energy efficiency office buildings in typical climate zones of China and U.S. based on correction model. Energy
- Energy saving effect prediction and post evaluation of air-conditioning system in public buildings. ENERGY AND BUILDINGS. 2011,43 (11):3243-3249
- Zhao Jing. Energy consumption quota of public buildings based on statistical analysis. ENERGY POLICY. 2012,43 (4):362-370