负荷求导法是超短期电力负荷预测的一种新方法。
A novel method called load derivation is introduced for ultra-short term load forecasting of power system.
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。
Wavelet neural network short term load forecasting, neural network model and BP learning algorithm.
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).
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.
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。
By the improved BP and RBF neural networks, short-term electric load is forecast and training (convergence) rate and forecasting precision are analyzed.
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.
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.
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.
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.
短期电力负荷的预测对电力系统具有重要的意义。
Short-term load forecasting is of great importance for electric power systems.
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 paper presents an immune clustering RBF neural network (ICRBFNN) model 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。
A reduced dimensions method applying neural network is proposed for short term load forecasting.
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。
Power system load forecasting process, short-term forecasting, considering the weather, human comfort and other factors.
短期负荷预测的准确与否将直接关系到电力系统的安全运行和经济调度，便于更合理地安排电网设备调度及检修计划；
Load forecasting is related to operation security and economical dispatching of power system , which is used to arrange the equipments dispatching and repairing .
推导出热指数在工程应用中的拟合函数，并应用于电力负荷短期预测工作中。
The imitation function of heat index used in engineering applications is derived and applied to the short term electric load forecasting.
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.
本文还研究了电力负荷预测算法，并给出了一种电力负荷短期预测算法的详细分析。
The paper also researches the power load forecasting and gives an analysis of a short forecasting algorithm.
超短期负荷预测将成为AGC（自动发电控制）实用化的基础，同时也是动态经济调度和电力市场运行所需的基本信息。
Short-term load forecasting is the foundation of Auto Generation Control (AGC). And it is needed in running and economic distributing of power system.
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.
针对电力系统负荷变化具有明显的分形自相似性的特点，提出了一种新的基于弹性系数的短期负荷预测方法。
A new method of short time load forecasting on the base of elasticity coefficient is put forward according to the characteristic of obvious fractal self similarity of load change in power system.
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.
对于受不确定因素影响的短期电力负荷，提出了一种基于相似日的神经网络预测方法。
For the short -term electric power load with uncertainty influence factors, we put forward the load forecasting method using ANN based on similar historical day.
提出了一种交替梯度算法对径向基函数(RBF)神经网络的训练方法进行改进，并将之运用于电力系统短期负荷预测。
This paper proposes one kind of alternant gradient algorithm for improving the training of RBF neural network, which is applied to short-term electric load.
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.
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.
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.
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