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。
Wavelet neural network short term load forecasting, neural network model and BP learning algorithm.
小波神经网络实现短期电力负荷预测，神经网络模型及其BP学习算法。
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。
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。
In order to capture the effect of weather on load, this paper presents a novel thought based on ANN and trends combination short term load forecasting.
为了更好地捕捉天气对负荷的影响，文中提出了一种基于神经网络的趋势组合短期负荷预测思想和模型。
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。
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。
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。
Power system load forecasting process, short-term forecasting, considering the weather, human comfort and other factors.
说明：电力系统负荷预测程序，短期预测，考虑天气、人体舒适度等因素。
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。
By the improved BP and RBF neural networks, short-term electric load is forecast and training (convergence) rate and forecasting precision are analyzed.
利用改进的BP网络和RBF网络进行了短期电力负荷预测，并对训练的收敛速度和预测精度进行了分析。
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。
Aimed at the characteristics of short-term electrical load forecasting, an algorithm based on multi-objective particle swarm optimization is proposed in the paper.
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。
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 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。
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。
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。
Electric power load forecasting, especially short-term forecasting is an important routine of the electric power utility and of great economic significance.
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。
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。
Results show that short-term load forecasting by the developed method is sample, fast and accurate, which can be implemented on a personal computer.
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。
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。
An improved method for short term electric load forecasting is presented. It is based on time series methods and fuzzy logic techniques.
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。
This paper proposes a new short-term load forecasting method based on decision-tree approaches, which could efficiently take the non-load factors' influences into account.
提出了一种基于决策树技术的短期电力负荷预测新方法，能有效地考虑非负荷因素对短期负荷预测的影响。
This paper proposes a new short-term load forecasting method based on decision-tree approaches, which could efficiently take the non-load factors' influences into account.
提出了一种基于决策树技术的短期电力负荷预测新方法，能有效地考虑非负荷因素对短期负荷预测的影响。
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