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   灰色负荷 的翻译结果: 查询用时:0.006秒
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灰色负荷
相关语句
  grey load
     COEFFICIENT MODIFICATION OF GREY LOAD PREDICTION
     灰色负荷预测的参数修正法
短句来源
  “灰色负荷”译为未确定词的双语例句
     Fusion of Gray Model Load Forecasting Based on Dempster Synthesize Rule of Evidential Theory
     基于证据理论Dempster合成法则的灰色负荷预测模型融合
短句来源
     A residual error amendment model and A α parameter amendment model are built up based on GM(1,1) model,with which the forecast accuracy improves greatly.
     在分析灰色负荷预测模型GM(1,1)的基础上,对模型中的α参数和负荷预测差值建立了修正模型,进而修正负荷预测值,使预测精度得以提高。
短句来源
     Take the distribution transformer as the basic unit, the work of load forecasting using the technology of the Enhanced Grey Model is finished.
     以配电变压器为基本单位,应用改进灰色负荷预测法进行负荷预测,在此基础上,应用动态规划模型计算规划年供电变电站经济供电半径、经济数量。
短句来源
     This paper presents a new approach fortransmission network planning with load growth un-certainties.
     本文介绍了一种灰色负荷信息条件下的电网规划新方法。
短句来源
     As an application, power system load forecasting using grey models is studied and some more reasonable forecasting results are got comparing to conventional grey system methods.
     在电力系统灰色负荷预测中的应用结果表明,这一方法在提高灰色系统建模精度方面有相当的优越性,预测结果比常规灰色模型有很大的改善。
短句来源
  相似匹配句对
     An Improved Method Based on Grey Model in Load Forecasting of Power System
     负荷预测的灰色系统方法
短句来源
     An Improved Method Based on the Grey Model for Shoft-Term Load Forecast of a Power Svstem
     短期负荷预报的灰色系统方法
短句来源
     Colorful Shades of Gray
     绚烂的灰色
短句来源
     On grey function
     灰色函数
短句来源
     The Method of Calculation for Heating/Cooling Load by Variable Indoor Temperature
     变温负荷计算法
短句来源
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This paper presents a new approach fortransmission network planning with load growth un-certainties. The approach integrates Linear Flow Eval-uation and Grey System Principle,and induces a newdata analysis formulationGM(1,1),which is used toevaluate properties of right of ways and amend to ca-pacity allocation of new generators.Grey program-ming problem with uncertainty constrains is formulat-ed as Multi-hierarchical Comprehensive Evaluation al-gorithm,and a reduced risk network expansion sce-nario will be put...

This paper presents a new approach fortransmission network planning with load growth un-certainties. The approach integrates Linear Flow Eval-uation and Grey System Principle,and induces a newdata analysis formulationGM(1,1),which is used toevaluate properties of right of ways and amend to ca-pacity allocation of new generators.Grey program-ming problem with uncertainty constrains is formulat-ed as Multi-hierarchical Comprehensive Evaluation al-gorithm,and a reduced risk network expansion sce-nario will be put forward.

本文介绍了一种灰色负荷信息条件下的电网规划新方法。该方法融合传统的线性潮流估计技术和最新的灰色系统理论,通过对原始数据的信息白化和多级规划结果的GM(1,1)建模分析,得到了投资风险较小的网络扩展决策。

The methods of parameter estimation and bad data detection and identification are applied in grey system modeling to improve its accuracy. The proposed methods can be used as data preparation techniques to detect bad data and fill the blank with a more accurate value in an initial series. The modeling accuracy of grey system is greatly improved by such methods. As an application, power system load forecasting using grey models is studied and some more reasonable forecasting results are got comparing to conventional...

The methods of parameter estimation and bad data detection and identification are applied in grey system modeling to improve its accuracy. The proposed methods can be used as data preparation techniques to detect bad data and fill the blank with a more accurate value in an initial series. The modeling accuracy of grey system is greatly improved by such methods. As an application, power system load forecasting using grey models is studied and some more reasonable forecasting results are got comparing to conventional grey system methods.

针对序列中含有空穴或不良数据的情况,将参数估计与不良数据辨识理论作为数据预处理技术应用于灰色系统建模。以观测数据为依据进行参数估计,避免了常规模型将空穴处的生成数据与其余实际数据同等对待的弊端;对序列作检测与辨识,使剔除不良数据后的参数估计结果更为精确。在电力系统灰色负荷预测中的应用结果表明,这一方法在提高灰色系统建模精度方面有相当的优越性,预测结果比常规灰色模型有很大的改善。

The power load forecast accuracy is higher when GM(1,1) model is applied for the ex-ponential increasing load,while it is not acceptable when the load is influenced by different factors. A residual error amendment model and A α parameter amendment model are built up based on GM(1,1) model,with which the forecast accuracy improves greatly. The example analysis shows the reasons why the forecast accuracy is low when GM(1,1) model is applied in some conditions and it is greatly improved with the amendment models....

The power load forecast accuracy is higher when GM(1,1) model is applied for the ex-ponential increasing load,while it is not acceptable when the load is influenced by different factors. A residual error amendment model and A α parameter amendment model are built up based on GM(1,1) model,with which the forecast accuracy improves greatly. The example analysis shows the reasons why the forecast accuracy is low when GM(1,1) model is applied in some conditions and it is greatly improved with the amendment models.

灰色预测系统GM(1,1)模型用于负荷按指数增长态势变化时,预测精度较高,但当影响负荷的因素较多、模型灰度较大时,精确度就不够理想。在分析灰色负荷预测模型GM(1,1)的基础上,对模型中的α参数和负荷预测差值建立了修正模型,进而修正负荷预测值,使预测精度得以提高。通过算例进行验证,说明了灰色GM(1,1)模型在某些情况下精度不高的原因,通过修正使预测精度得到较大的提高。

 
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