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.
提高预测精度是短期负荷预测的基本目标。
To improve prediction precision is the most radical objective in short term load forecasting (STLF).
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.
该算法可有效用于电力系统的短期负荷预测。
The hybrid algorithm can be effectively used in short time load forecasting of the power system.
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.
因此，短期负荷预测方法的研究一直为人们所重视。
So the study of short-term load forecasting has been paid enough attentions in the past decades.
电力系统负荷预测可分为长期、中期和短期负荷预测。
It provides the veracity basis for the electric power system short-term on load estimation.
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.
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.
概述了深圳电网自动运行的短期负荷预测系统的结构及其实现方案。
The architecture and implementation of an auto-operating short-term load forecasting system for Shenzhen power network is resumed.
本文提出了一种应用人工神经网络进行电力系统短期负荷预测的方法。
In this paper we propose a method for short-term load forecasting using artificial neural network.
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.
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.
电力负荷预测，特别是短期负荷预测是电力部门一项重要的工作，经济意义重大。
Electric power load forecasting, especially short-term forecasting is an important routine of the electric power utility and of great economic significance.
实例验证表明，燃气短期负荷预测小波分析综合模型有效地提高了负荷预测精度。
The example results indicated that the synthesis method based on the wavelet analysis on shortterm gas load prediction has effectively improved the prediction precision.
经实际电网超短期负荷预测检验，论文所提方法能有效提高超短期负荷预测精度。
The real power system ultra-term load forecasting proved that effectiveness of the method from the paper in the improvement of the precision of ultra-short term load forecasting.
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.
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 load forecasting researches and applications by using the combined forecasting theory are more and more.
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.
计算结果表明，提出的短期负荷预测方法是简单、快速并精确的，可在个人计算机上实现。
Results show that short-term load forecasting by the developed method is sample, fast and accurate, which can be implemented on a personal computer.
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