1) price elasticity matrix of demand
电量电价弹性矩阵
1.
Based on an analysis of the historical data and electricity consumption behaviors, customers’ response to SOU price is first described by a price elasticity matrix of demand.
基于对用户历史数据和电力消费行为的分析,通过建立丰枯季节电价的电量电价弹性矩阵来反映用户对丰枯季节电价的响应。
2.
Therefore, this paper presents the constructing process of price elasticity matrix of demand, and analyses th.
文中给出了电量电价弹性矩阵的建立过程,并分析了由于用户分类及电价分类不同所引起的弹性矩阵结构的不同。
2) elastic matrix
弹性矩阵
1.
Calculation of elastic matrix and X-ray elastic constant of anisotropic films using Kroner method;
用Kroner模型计算取向薄膜的弹性矩阵与X射线弹性常数
2.
The calculated results of the elastic matrix and X-ray elastic constants of Cu and TiN are close to the results obtained by Hill and Kroner models, the largest error is less than 4%, and is situated between Reuss and Voigt models.
推导出几何平均模型并使用这个模型计算了 Cu和TiN 的弹性矩阵和 X射线弹性常数,计算的结果处于 Voigt和 Reuss模型所定义的多晶材料弹性常数的有效区间内。
3) elasticity matrix
弹性矩阵
1.
By the use of supply elasticity matrix and demand elasticity matrix, the analysis on the stability of supply demand equilibrium in single commodity market is applied to that in multiple commodity market.
应用需求弹性矩阵与供应弹性矩阵的概念,将单商品市场供需均衡的稳定性分析推广到了多商品市场的情形。
4) price elasticity matrix of demand
需求价格弹性矩阵
1.
Considering current power supply and demand conditions and TOU(Time-Of-Use) tariff mechanism in Chinese power market,a peak-valley tariff setting model based on the price elasticity matrix of demand is put forward by drawing on foreign and domestic experiences.
针对目前我国电力市场严峻的电力供需形势以及分时电价机制,借鉴国内外的一些先进经验,提出了一种新的基于电力需求价格弹性矩阵的峰谷分时电价定价模型。
5) voltage increment matrix circuits
电压增量矩阵
6) linear electronic matrixing
线性电子矩阵化
补充资料:电量制电价
电量制电价
electric energy price
d一onllangzh一d旧nJ一a电,制电价(eleetrie energy priee)按照消费或送受电量多少计算电费的一种电价制度。电量制电价有广义和狭义之分。狭义的电量制电价指单一电量制电价;广义的电量制电价还包括两部制电价中的电量电价。一般电量制电价是指狭义的,计算公式为,一:(斋+,)式中,A为用户全部电费;E为用户用电量;x为每千瓦容量成本;y为每千瓦·时电量运行成本(包括相应的税金、合理利润);t为累计用电时间;a为用户负荷率. 当用户负荷率无多大差别时,上式中的[x/(ta)十y〕部分可视为某一常数尸,则用户累计用电时间t的全部电费计算公式为 A~E尸式中,尸为用户的电量制电价。 电量制电价简便易行,但在反映电力成本特性方面存在不足。一般用于居民生活等用电量较少的用户。
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