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 medium and short term load forecasting system is designed for Guilin Power Network.
设计了一套桂林电网中短期负荷预测系统。
This paper presents an intelligent system for forecasting the short term load being used.
本文介绍一个正在实际使用的短期电力负荷智能预报系统。
A short term load forecasting software system for Northwest Grid is presented in this paper.
本文介绍了西北电网短期负荷预测软件系统。
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。
To improve prediction precision is the most radical objective in short term load forecasting (STLF).
提高预测精度是短期负荷预测的基本目标。
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。
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。
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 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.
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。
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。
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。
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。
In application of neural networks based short-term load forecasting model, the main problems are over many training samples, thus resulting long training time and slow convergence speed.
在神经网络负荷预测实际应用中，突出的问题是训练样本大、训练时间长、收敛速度慢。
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。
The corresponding BP algorithm, which brings its ability of processing non-linear problem into full play, is used to forecast the short-term load in future 24 hours.
利用相应的BP算法对未来24小时负荷进行短期预测，该方法充分发挥了神经网络处理非线性问题的能力。
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。
In addition, the fuzzy functions for specified factors are built, and in ultra short-term load forecasting the similar load days are extracted by clustering analysis.
此外建立了一些特定因素的模糊函数，在超短期负荷预测过程中采用了聚类分析法提取负荷相似日。
Because of super short-term load forecast error, ATC is changing with the adjustment of the generation scheduling by the object function that purchasing charge is least.
考虑到超短期负荷预测偏差的情况下，以购电费用变化量最小为目标函数重新调整发电计划，从而导致电网可用输电能力(atc)发生变化。
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。
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 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。
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。
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。
The deviation between ultra short term-load forecast and the original generation plan is unavoidable.
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 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。
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。
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。
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