提出了一种最小二乘支持向量机的电池剩余电量预测新模型。
A novel prediction model for remaining capacity of batteries based on least square support vector machine (LS-SVM) was proposed.
实例表明，灰色关联和回归分析理论应用于社会用电量预测是可行的。
The example shows that it is feasible that the theories of grey correlation and regression analysis is used for social power consumption.
针对城市电力系统年用电量增长的特点，将灰色神经网络模型GNNM(1,1)引入城市年用电量预测。
According to the speciality of electricity demand development in a city, the grey neural network model GNNM (1, 1) was introduced into the field of city electricity demand forecasting in this paper.
然后利用电力负荷数据的不同分形特性，将分形外推插值算法应用于电力日负荷、日峰值负荷及年用电量预测中。
Then by use of different fractal property of power load data the proposed fractal extrapolation algorithm is applied to the forecasting of daily load, daily peak load and annual power consumption.
算例计算表明，与灰色预测方法相比，GNNM(1,1)模型具有更强的适应性和更高的预测精度，适用于城市年用电量预测。
The forecasting results demonstrate that the GNNM (1, 1) model has higher adaptability and forecast precision for city electricity demand forecasting.
绿色和平组织预测了令人震惊的数字：互联网所耗费的电量预计比法国、德国、加拿大和巴西的用电总量还要多。
Greenpeace predicts shocking figures; the electricity demand of the web is estimated to be greater than the total electricity demands of France, Germany, Canada and Brazil put together.
乍看上去，美国能源部对美国能源消耗的预测似乎相当环保：到2030年，可再生能源占总发电量的比例将增加一倍以上，超过12%。
A casual glance at the DOE's projections for us energy use look fairly green with renewable energy as a share of electricity production more than doubling by 2030 to over 12 per cent.
天然气（占英国发电量的40%）过剩的预测应该引起核电厂的关切。
Predictions of a glut in natural gas (which generates around 40% of Britain’s electricity) should worry atom-splitters.
并用灰色预测理论对该系统现有的年用电量时间数据序列进行处理，进而建立了GM（1，1）预测数学模型，最后提供了预测实例。
Time data sequence on existing annual power consumption are dealt with by using principles of grey production, thus establishing GM(1, 1) grey model. Finally, a example is given.
中电联预测，今年全年用电量将在4.7万亿千瓦时左右。
In the whole year, forecast report couplet additionally in 4.7 trillion kilowatt hour or so electricity use will.
本文在基于前人的基础上进行了进一步研究，对电池管理系统中的难点问题：动力电池剩余电量的估计，提出了一种新的预测方法。
Based on the achievement of predecessors, a further study on the difficult battery management system was given, proposed a new forecasting method for battery power remaining estimated.
为精确地预测电量，利用灰色系统的理论，对石家庄市网已有年用电量的离乱数列进行数据处理；
To precisely predict the electricity demand, existing annual demand data of Shijiazhuang urban network were processed by using grey system theory.
由来水不确定性带来的申报电量风险和对边际电价预测不准确引起的申报电价风险，是水电厂参与电力市场竞价的主要风险。
The main risk for hydropower plants at the in electricity market is the bidding energy risk induced by the uncertainty of inflow and marginal electricity price forecast.
通过对某地的年用电量进行预测分析，并与传统的基于“直接搜索寻优”法建立的综合预测模型进行比较、分析。
The annual power demands of a region are forecasted, analyzed and compared with those forecasted by the integrated forecast model based on "optimization of direct search".
同时还可以预测该地区今后数年的用电量，为该地区电力部门调整发电量或进行电力系统分析与控制提供依据。
Additionally, power usage for subsequent years in this region can also be projected, which can be used to analyze the regional power network and to adjust the power generation.
把模糊聚类法应用在中长期电力负荷预测中，并在某城市的城网改造中，应用该方法预测未来十年内的年用电量。
This paper introduces the fuzzy clustering algorithm in the power distribution system planning of the city, and an application using it to forecast the total load of every year of the city.
此外，用电量的预测对于电力系统的控制、运行以及电网运行的安全性和经济性都起到重要作用。
Additionally, projection of power consumption will play an very important role in running and safe-guarding an efficient and economic power network.
本文根据我国某地区1997 ~ 2007年每年用电量数据，运用灰色理论，预测该地区每年的用电量。
This article utilizes the Grey theory to predict the annual power usage of one certain region, based on the power usage data of this region from 1997 to 2007.
这种预测是必须的，假如没有它，将很难晓得电池啥时候电量会用尽。
This prediction feature is necessary as without it, it would be very difficult to know when the battery is about to run out of charge.
另外还对3个夏季各21周日均用电量与对应气温建立了评估和预测模型。
Me anwhile, the evaluation and forecast models for weekly average daily energy consumption-air temperature correlation of 21 Weeks per summer in 3 years are established.
在营销指标预测算法上，本文采用改进的温特斯模型对售电量进行预测，并用华北电网的相关数据进行了校验，取得了良好的预测效果。
On the algorithm of Market rate prediction, this article adopts the new Winters model to predict the power cost, and check it by the data of North China co, and receives better estimation effects.
一个科学家小组预测，在美国的风能涡轮机能产生我们目前所用电量的16倍还多。
A team of scientists estimates that wind turbines in the continental U. S. could produce 16 times more electricity than we currently use.
对电量和负荷的预测都提供了回归模型、趋势外推模型、灰色模型和组合模型等。
Establishing combined forecasting model using artificial neural network on the basis of MATLAB toolbox.
最后采用我国某省年用电量的预测的算例表明该方法的预测精度优于单一的灰色预测和单一的神经网络预测方法，为电力系统长期负荷预测提供了一种有用的方法。
Case study shows that this method is more accurate and faster than single grey prediction and single neural network method. It is a useful method for long term load forecasting.
根据复合预测思想的设计了实现模型，即基于三指标量的电量复合预测综合模型。
An achievement model of compound forecasting is presented on, which is comprehensive model of quantity of electricity compound forecasting. It benefits from combination forecasting idea.
根据复合预测思想的设计了实现模型，即基于三指标量的电量复合预测综合模型。
An achievement model of compound forecasting is presented on, which is comprehensive model of quantity of electricity compound forecasting. It benefits from combination forecasting idea.
应用推荐