from    
to    
search  

 


Protein Mechanics: from Single Molecule Force Spectroscopy toProtein-based Bi...
化工系膜中心学术论坛-MOF Chemistry: From design strategies to Applications
清华大学材料科学与工程研究院《材料科学论坛》学术报告:Multi-aspect characteri...
Brain-like spiking neural networks: A 4th generation of neural network models
报告题目:
Forecasting China's Energy Demand and Carbon Dioxide Emissions
 报告人:
Thomas Drennen
报告时间:
2007-05-17 09:00
报告地点:
能科楼A209
主办单位:
清华大学能源经济环境研究院
  简介:

This work is based on a high level model that predicts Chinese energy use by
sector and fuel type and corresponding oil import requirements and carbon
emissions. The author will discuss many of the basic assumptions in the
model and to gather feedback with an overall goal of improving the model and
its ability to predict Chinese energy requirements. The results of this
model will be compared to the predictions of the International Energy
Agency. Additional scenarios will be generated with input from those in
attendance. The model also includes an emission permit trading module which
forecasts potential costs or revenues for regions engaged in allowance
trading.

 

今日相关信息
美国康奈尔大学法学院教授主题演讲:Pro...
Neural Dynamic Programming for Call A...
清华大学新人文讲座系列之(五) 于丹的食...
 
同类别相关信息
京津冀协同发展与城镇化模式创新(+互动...
新型城镇化背景下的金融、土地利用问题
中国城镇化蓝图与其保障机制
新型城镇化战略与生态文明
新型城镇化战略下的投融资政策
学术活动