Short-term load forecasting is of great importance for electric power systems.
短期电力负荷的预测对电力系统具有重要的意义。
This paper presents a fuzzy neural network approach to short term load forecasting.
提出了一种用于短期电力负荷预报的模糊神经网络方法。
A reduced dimensions method applying neural network is proposed for short term load forecasting.
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。
In this paper we propose a method for short-term load forecasting using artificial neural network.
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。
Gas load forecasting include: long-term, middle-term, short-term, very short-term load forecasting.
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。
A novel method called load derivation is introduced for ultra-short term load forecasting of power system.
负荷求导法是超短期电力负荷预测的一种新方法。
As an illustrative application example, the numerical result of the medium-term load forecasting is given.
还利用提出的改进算法对某省中期负荷进行了预测，算例结果表明了该算法的有效性。
The paper presents an immune clustering RBF neural network (ICRBFNN) model for short-term load forecasting.
提出了一种免疫聚类径向基函数神经网络(ICRBFNN)模型来预测电力系统短期负荷。
The application of Subtractive Clustering Fuzzy Inference System model to forecast short-term load is presented.
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。
Therefore, how to improve the forecasting precision is the emphasis on the study of short-term load forecasting.
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。
A new gray theory self-correcting model is applied to the error correct of Short-term Load Forecasting Technique.
本文把一种新的灰色理论自修正模型应用到负荷预测的误差校正中。
A recurrence algorithm of dynamic economic dispatching coupled with very short term load forecasting is presented.
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。
Based on the development of Guangzhou power short term load forecast system, a feasible forecast model is designed.
结合广州电网负荷短期预测系统的开发工作，设计了合理的预测模型。
This paper presents a new algorithm for short term load forecasting based on the deterministic annealing technique.
首次将确定性退火方法用于短期负荷预测领域。
Seeking the causes of the chaos of load records is important to im prove the accuracy of short- term load forecasting.
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。
There are traditional model methods of forecasting short-term load, such as time series, regression analysis, and so on.
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。
Looking into the present condition of power system short-term load forecast and summarizing research method in the world.
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。
Hence, Grey forecast Modal has been adopted, appropriate software developed for short-term and medium-term load forecast.
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。
Meteorological conditions, especially the temperature, have been the mian factors that impact the short-term load demand.
气象条件尤其是温度已成为影响电力短期负荷的主要因素。
A hybrid method based on chaos and neural network was used in the study of the electric power system 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。
The architecture and implementation of an auto-operating short-term load forecasting system for Shenzhen power network is resumed.
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 paper presents a short term load combined forecasting model using the simple average and weighted optimum combination principles.
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 short-term load forecasting (STLF) of electric system is one of the important routines for power dispatch and utility departments.
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。
In this paper , two grey prediction models which are applied to long term load forecast in regional power grid planning are discussed.
本文将灰色预测中的数列预测模型和系统预测模型应用于农村电力网规划中的用电需求预测。
Practical operation results show that the cluster analysis method can considerably improve the accuracy of short-term load forecasting.
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。
The results of practical calculation examples show that the accuracy of forecasted short-term load can be improved by the proposed method.
最后通过模糊推理策略预测日最大负荷和日最小负荷。实际算例表明，所提出的方法能够提高短期负荷预测的精度。
The ultra short-term load algorithm is improved and made to be suitable for the real-time economic dispatcher of the distribution network.
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。
Based on local linear prediction model of chaotic time series, short-term load forecasting method on multi-embedding dimension is presented.
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。
A short-term load forecasting model based on SVM is presented in which the parameters in SVM are optimized by Particle Swarm Optimizer (PSO).
文章提出了PSO优化参数的SVM回归预测模型，并将其用于短期电力负荷预测。
A short-term load forecasting model based on SVM is presented in which the parameters in SVM are optimized by Particle Swarm Optimizer (PSO).
文章提出了PSO优化参数的SVM回归预测模型，并将其用于短期电力负荷预测。
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