用电量

针对大型泵站年用电量的非线性规律，提出应用BP网络模型的预测方法。

BP model is proposed for handling power consumption nonlinear law in big pump station .

SPSS预测模型在城市居民生活用电量中的应用

Application of SPSS model to the prediction of residential power consumption

工业是用电量大的部门。

Industry is a heavy user of electric power .

保守党计划采取这一策略,让公用事业公司把当地的平均用电量和用气量印在人们的账单上。

The Conservatives plan to adopt this strategy by making utility companies print the average local electricity and gas usage on peopled bills .

年用电量平均为每小时500千瓦

It 's about 500 kilowatts per hour on average .

BP网络模型在大型泵站用电量预测中的应用

Application of BP Model to Power Consumption Forecast in Big Pump Station

ibm和英特尔正在帮助客户减少用电量。

IBM and Intel are helping utilities cut power use .

国际能源署（internationalenergyagency）表示，今年全球用电量将出现下降，这是自1945年以来的首次。

Global electricity consumption will fall this year for the first time since 1945 , according to the International Energy Agency .

基于GM（1,1）模型的用电量灰预测方法

Grey Prediction for Electricity Consumption Based on GM ( 1,1 ) Model

基于改进灰色GM模型的用电量预测方法研究

Research on electricity demand forecasting method based on improved grey GM model

用电量与GDP之间存在什么关系，很多学者进行了讨论。

Consumption and GDP What is the relationship that exists between , many scholars have discussed .

能源企业ReliantEnergy表示，德克萨斯州的人均用电量自2005年以来减少了8%。

In Texas , Reliant Energy reports an 8 % drop in per-customer energy use since 2005 .

在此基础上，为了对河北省南部电网月用电量进行有效的预测，建立了BP神经网络的负荷预测模型。

To make perdition in an effective way , power load forecasting model based on BP neural network is established .

它跟踪，如CPU利用率和屏幕的亮度，估计用电量的计算机资源。

It tracks computer resources , such as CPU utilization and screen brightness , and estimates power usage .

并建立了年用电量灰色动态模型（GM）。使测量的电量达到一级精度。

A grey model ( GM ) of annual demand was established , this upgrades the precision of demand prediction to first class .

GNNM（1,1）模型采用BP学习算法，网络经训练收敛后就可进行城市年用电量预测。

City electricity demand is forecasted after the GNNM ( 1,1 ) model is convergent .

研究了灰色预测GM（1,1）模型及其几种改进模型在城市年用电量预测中的应用.以实际算例为基础，分析了几种模型的预测结果并进行比较。

This paper studies the application of the grey forecasting GM ( 1.1 ) and some improved models in annual electricity consumption forecasting in a city .

再将GM（1,1）模型融入回归模型的预测过程，实现了灰色模型和回归模型的优势互补，并利用该模型对江苏省全社会用电量进行了预测。

Then , the gray prediction method is infiltrated into the operational process of optimal multiple regressive model and the advantage of each method is joint .

本课题设计的基于DSP的高精度复费率电能表，主要用于用电量大的工厂或者企业的电能消耗测量。

In this paper , a high precision multi-rate watter-hour meter based on DSP is researched . It is mainly used for measuring electricity of power consumption heavy factory or enterprises .

但是，这轮全球经济危机的爆发，极大的抑制了天津地区的电力需求，全社会用电量增长率与GDP增长率之间呈现出明显的背离。

However , with the outbreak of the global economic crisis has greatly inhibited electricity demand in Tianjin , electricity consumption and GDP growth rate showed a significant difference .

根据社会存在用电量不确定因素较多，变化趋势较为明显的特点，基于灰系统理论建立灰模型（GreyModel，GM）对用电量进行灰预测；

There are many uncertain factors for electricity consumption with the characteristic of obvious changing tendency . Grey prediction for electricity consumption is carried out by using Grey Model ( GM ) based on Grey Theory .

艾级超级计算机的用电量很有可能是它的两倍多，或者说相当于美国最大的太阳能发电设施铜山太阳能项目（CopperMountainSolarFacility）的发电量。

An exascale supercomputer will very likely require more than twice that amount of power , or roughly the amount of power produced by the Copper Mountain Solar Facility , the largest producer of solar power in the United States .

该方法采用误差逆传播学习规则，具有较强的非线性拟合能力，实例计算分析表明，与线性回归模型预测方法相比较，BP网络模型对大型泵站年用电量的预测是有效的。

BP model adopts the regulation of error back propagation , and has the stronger ability of goodness-of-fit . Computation samples show that , compared with the linear regression model , BP model is effective for power consumption forecast in big pump station .

具有较低的设备成本，可以大幅度降低用电量和减轻在用电高峰期用电压力，还可以减少温室气体和CFC的排放量。

Its low equipment cost can significantly reduce electricity consumption and alleviate power pressure during peak period . It can also reduce greenhouse gases and CFC emissions .

运用灰色系统理论，建立巢湖地区全社会用电量的GM（1,1）预测模型，并运用粒子群算法对模型参数进行优化，从根本上克服误差。

The Grey System Theory is applied here , a GM ( 1,1 ) model is constructed for social electricity consumption forecasting , and the Particle Swarm Optimization is utilized to optimize the model 's parameters , consequently to overcomes the model 's error .

2001年大约价值4120亿挪威克郎（约550亿欧元）的电力合同在NP清算，总合同交易量为2769TW·h，是实际用电量的7倍之多。

In 2001 , power contracts worth nearly NOK 412 billion , about 55 billion Euro , were cleared by Nord Pool , and the combined volume of contracts was 2 769 TW · h , that is more than seven times the physical consumption .

第六章在灰色系统理论的基础上，采用了灰色Logistic预测模型对上海市2007～2011年的电力需求进行了预测，并且对影响上海市社会总用电量的各个因素进行了关联分析。

The sixth chapter based on the theories of grey systems , this paper applies grey Logistic model to electric power demand forecasting of Shanghai from the year 2007 to 2011 and makes the correlation analysis of the factors which will affect the electric power consumption .

两大行业组织PMA和A4WP都认为，磁共振很有可能将成为无线充电技术的第二代标准，因为磁共振可以传输更多的电力，足以为厨房用具等用电量更大的设备充电。

Both industry groups look to magnetic resonance technology as the likely second-generation standard for wireless charging , thanks to its ability to transfer larger quantities of energy and therefore support larger devices such as kitchen appliances .

这差不多是1兆瓦时（一个普通美国家庭1～2个月的用电量），或者90千克汽油所蕴含的能量，或者一个载满AA电池的货车所携带的电能。

It 's about a megawatt-hour , which is what a typical US household consumes in electricity in a month or two . It 's equal to the amount of stored energy in 90 kg of gasoline or a cargo van full of AA batteries .

运用自适应神经网络模糊推理系统（ANFIS）理论，建立了某电力一产用电量预测模型，并与常用的一些预测方法所建模型进行了比较。

Adaptive network - based fuzzy inference system theory is employed to set up prediction models of power consumption in the primary industry . Compared with traditional BP prediction methods , the result shows it is reliable to use ANFIS method .