1) residential gas consumption index
居民用气量指标
2) air consumption indicators
用气量指标
1.
Through introducing influential factors of two uncertain factors,air consumption indicators and rate of gasification,in calculating formula of air consumption of natural gas in city,the paper states difficulty and importance of forecasting of air consumption of residence,it aims to forecast the air consumption correctly through analyzing and handling the air consuming indicators and rules.
通过介绍居民用气量计算公式中用气量指标及气化率两个不确定参数的影响因素,阐述了居民用气量预测的难度及重要性,旨在通过分析掌握居民用气指标和用气规律,从而准确预测居民用气量。
3) residential water consumption
居民用水量
1.
Factors influencing residential water consumption
居民用水量的影响因素研究评述
4) gas consumption index
用气指标
1.
The statistic calculation of gas consumption index for FUKANG two-fuel(gasoline and LPG) taxi and SONATA LPG taxi in Beijing City is carried out.
对北京市的富康油气(汽油、LPG)两用出租车、索纳塔LPG单燃料出租车的用气指标进行了统计计算,对两种车型的平均加气间隔时间、空调开关情况对用气指标的影响、故障原因与发生频率、已行驶里程与耗气量的关系进行了分析,对比了LPG汽车与燃油汽车单位行驶里程的燃料费。
2.
The statistical calculation of gas consumption index for different types of CNG buses in Beijing City is carried out.
对北京市不同车型的CNG公交车的用气指标进行了统计计算,得到了单机、双机、双层3种车型的用气指标,对比了CNG公交车与燃油公交车的燃料费。
5) residents water consumption
居民生活用水量
1.
Based on Chengdu s residents water consumption data, different procedures are used for prediction of residents water consumption in the future.
以成都市居民生活用水量为背景 ,采用不同的预测方法进行了实例计算 ,分析比较了多个模型的预测精度 ,并在此基础上确定了适合成都市居民生活用水量变化特征的新的预测模型──自组织模型。
2.
Based on the Chengdu s residents water consumption data during 1981～1993, the analysis of the main influencing factors is presented by the use of neural network method.
基于成都市 1981～ 1998年间居民生活用水量的实际数据 ,采用人工神经网络方法对影响居民生活用水量的主要因素进行了分析 ,然后 ,采用相关因素预测法和组合预测法预测了居民生活用水量。
3.
In this paper, based on the Chengdu residents water consumption and relevant-factor data of 1981-1996, GMDH is used for analysis of residents water consumption.
基于成都市1981-1996年间居民生活用水量及相关因素的实际数据,采用自组织方法对居民生活用水量进行了分析,然后,运用不同的预测方法进行了比较。
6) rural residential consolidation index
农村居民点整理指标
补充资料：金融帐记录居民与非居民之间的金融资产及负债交易
它显示某经济体系如何融资以进行其对外交易。金融帐内的交易可归类为直接投资、有价证券投资、金融衍生工具、其他投资及储备资产。
说明：补充资料仅用于学习参考，请勿用于其它任何用途。
参考词条