设计了一套桂林电网中短期负荷预测系统。
A medium and short term load forecasting system is designed for Guilin Power Network.
本文介绍了西北电网短期负荷预测软件系统。
A short term load forecasting software system for Northwest Grid is presented in this paper.
首次将确定性退火方法用于短期负荷预测领域。
This paper presents a new algorithm for short term load forecasting based on the deterministic annealing technique.
超短期负荷预测结果与原有的发电计划之间难免出现偏差。
The deviation between ultra short term-load forecast and the original generation plan is unavoidable.
了解电力系统短期负荷预报的现状，总结国内外的研究方法。
Looking into the present condition of power system short-term load forecast and summarizing research method in the world.
采用减法聚类辅助模糊推理系统进行电力系统短期负荷预测。
The application of Subtractive Clustering Fuzzy Inference System model to forecast short-term load is presented.
提出了一种基于内蕴误差评价的电力系统短期负荷预报方法。
A new load forecasting method based on intrinsic error evaluation is proposed.
提出一种采用神经网络进行电力系统短期负荷预测的降维方法。
A reduced dimensions method applying neural network is proposed for short term load forecasting.
提出了一种将混沌和神经网络相结合的方法用于短期负荷预测。
A hybrid method based on chaos and neural network was used in the study of the electric power system short-term load forecasting.
本文将时间序列相关分析理论应用于电力系统超短期负荷预报。
In this paper, the Theory of Corrclation Analysis on Time Series is applied to very-short-term power system load forecast.
本文用递归神经网络逼近非线性ARMA模型预测电力短期负荷。
The recursive neural network based nonlinear approaching ARMA model is adopted for short-term power load prediction in this paper.
对超短期负荷算法加以改进，使之更适合用于配电网实时经济调度。
The ultra short-term load algorithm is improved and made to be suitable for the real-time economic dispatcher of the distribution network.
研究负荷记录混沌的成因，对于提高短期负荷预报的准确率是必要的。
Seeking the causes of the chaos of load records is important to im prove the accuracy of short- term load forecasting.
本文提出一个与超短期负荷预报结合在一起的动态经济调度递推算法。
A recurrence algorithm of dynamic economic dispatching coupled with very short term load forecasting is presented.
影响特大型电网短期负荷的因素十分复杂，负荷变化属非平稳的随机过程。
Factors influencing the extra large power network are very complicated, and variation of load is of a non steady stochastic process.
提出一种时间序列算法和模糊逻辑技术相结合的电力系统短期负荷预测方法。
An improved method for short term electric load forecasting is presented. It is based on time series methods and fuzzy logic techniques.
因此，关于如何提高预测精度的问题，一直是短期负荷预测研究的重点问题。
Therefore, how to improve the forecasting precision is the emphasis on the study of short-term load forecasting.
电力系统调度部门，为了经济、可靠和安全供电，一般要进行短期负荷预计。
For the economical, reliable and safe power supply, a shortterm load prediction is generally necessary to the load dispatch department.
基于混沌时间序列的局域线性预测模型，提出了多嵌入维的短期负荷预测方法。
Based on local linear prediction model of chaotic time series, short-term load forecasting method on multi-embedding dimension is presented.
选择灰色预测模型，并开发出相应的软件，可作短期负荷预测和中期负荷预测。
Hence, Grey forecast Modal has been adopted, appropriate software developed for short-term and medium-term load forecast.
电力系统短期负荷预测是电力系统调度运营和用电服务部门的重要日常工作之一。
The short-term load forecasting (STLF) of electric system is one of the important routines for power dispatch and utility departments.
针对江苏电力负荷的特点，提出了一种新的基于相似负荷日的短期负荷预计方法。
According to the load characteristics of Jiangsu electric power, a new short - term load forecast method based on the similar day is given and applied in the Jiangsu electric power Dispatch Center.
文中分别应用简单平均组合与最优加权组合原理，建立了短期负荷预测的组合模型。
The paper presents a short term load combined forecasting model using the simple average and weighted optimum combination principles.
燃气负荷预测包括长期负荷预测、中期负荷预测、短期负荷预测及超短期负荷预测。
Gas load forecasting include: long-term, middle-term, short-term, very short-term load forecasting.
电力系统短期负荷预测使用的方法有传统建模方法，诸如时间序列、回归分析等方法。
There are traditional model methods of forecasting short-term load, such as time series, regression analysis, and so on.
实际运行结果表明：利用聚类分析法进行负荷短期预测，短期负荷预测的精度大大提高。
Practical operation results show that the cluster analysis method can considerably improve the accuracy of short-term load forecasting.
然而，由于众多影响因素造成的复杂性和随机性使得短期负荷预测没能得到较好的解决。
However, the load complexity and randomicity caused by plenty of influence make it very difficult to be solved well.
针对短期负荷预测的特点，提出一种基于多目标粒子群优化算法的短期电力负荷预测法。
Aimed at the characteristics of short-term electrical load forecasting, an algorithm based on multi-objective particle swarm optimization is proposed in the paper.
进行实际短期负荷预测时，对某个固定地区，用不同预测方法可能得到不同的预测结果。
For a given electric power utility. various forecasting results can be obtained by using different models.
进行实际短期负荷预测时，对某个固定地区，用不同预测方法可能得到不同的预测结果。
For a given electric power utility. various forecasting results can be obtained by using different models.
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