电力需求预测做为电力规划的重要环节受到一些不确定因素的影响。
As an important link of electric power programming, power demand prediction is influenced by several uncertain factors.
通过改进传统的相关系数法进行通道交通需求预测，分析了交通需求的相关影响因素。
Traditional correlation coefficient method was improved for corridor traffic demand forecast; accumulating and dispersing nodes and correlative influence factors of traffic demand were analyzed.
交通产生预测的精度将直接影响交通需求预测的结果，影响交通产生预测的主要因素是居民住户的特性。
The accuracy of trip generation will directly affect the result of traffic demand forecast and the trip characteristic of household will impacts on the trip generation.
本文的研究结果对于进一步研究其它城市住宅需求及其影响因素的关系和需求预测，具有一定的参考价值。
This paper's findings are of reference value for further study of other cities 'housing demand, especially the influencing factors 'relationship on housing demand and demand forecasting.
鉴于石油需求预测的复杂性，文章首先利用四川省石油需求的历史数据，定性分析四川省石油需求的现状、主要影响因素及其增长趋势。
Firstly, being the complex nature of the demand for Oil, historical data are used to analyze qualitatively the current situation of Oil demand of Sichuan province, main factors and the increase trend.
鉴于石油需求预测的复杂性，文章首先利用四川省石油需求的历史数据，定性分析四川省石油需求的现状、主要影响因素及其增长趋势。
Firstly, being the complex nature of the demand for Oil, historical data are used to analyze qualitatively the current situation of Oil demand of Sichuan province, main factors and the increase trend.
应用推荐