电力负荷预测

在电力负荷预测的研究中，提出了基于Agent的电力负荷预测算法，试验验证这种方法是有效的，并且采用多Agent的原理设计了一个电力负荷预测系统，实现了多种方法的负荷预测。

During the research on electric load forecasting , the electric load forecasting algorithm based on multi-agent is presented and is effective by results .

基于ARIMA模型和BP网络的电力负荷预测

Electric Load Forecasting Based on ARIMA Model and BP Network

基于遗传BP网络的智能型电力负荷预测技术

The Technology of Intelligent Power Load Forecast with Genetic & BP Network

短期电力负荷预测的GM（1,1）模型群方法及应用

Power Load Forecasting Using GM ( 1,1 ) Model Cluster

基于AHP的实用中长期电力负荷预测最优综合模型

Practical optimum combined power system mid-long term load forecast based on the Analytic Hierarchy Process

基于引入取舍规则的Lyapunov指数法的电力负荷预测

Electrical load forecast based on Lyapunov exponent method with rule of acceptance and rejection

重点研究了BP神经网络模型的结构、算法以及BP神经网络在电力负荷预测中存在的问题，同时根据长治地区电力负荷的特点，建立了适合长治地区电力负荷预测的BP神经网络模型。

Sudied on the BP neural network model of the structure , algorithm and BP neural network for electric load forecasting problems .

夏季短期电力负荷预测的MGM（1，n）建模及应用

Modeling and application of MGM ( 1 , n ) for summer short term power load forecasting

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 .

基于ANFIS的长期电力负荷预测模型

Long-Term Load Forecasting Model Based on ANFIS

本文针对传统BP神经网络的不足之处进行改进，建立新的预测模型，并应用于短期电力负荷预测。

On base of improving the shortcomings of Neural Networks Forecasting using the traditional BP algorithm , this paper aims to introduce a new model in short-term power load forecasting .

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 ) .

详细综述了BP网络、RBF网络以及小波神经网络在电力负荷预测领域的研究和应用现状。

In this article , the research and applied of BP network and RBF network as well as wavelet neural network in power load forecasting has been summarized in detail .

基于改进FLN的短期电力负荷预测算法

Forecasting Algorithm of Short-Term Electric Power Load Based on Improved FLN

基于PSO-BP混合算法的短期电力负荷预测

The short-term electrical load forecasting based on PSO-RP hybrid algorithm

算法仿真将本文提出的方法与标准的世代型遗传算法和传统格搜索方法同时应用于BostonHousing标准数据集及实际的电力负荷预测，验证了本文方法的有效性和较高的整体性能。

Comparing with the standard generations GA and conventional grid search , the effectiveness and better performance of this selection method are demonstrated in applying the method in the Boston Housing benchmark problem and the practical power load forecasting .

用多层神经网络模型解决短期电力负荷预测问题，提出了运用基于非梯度的单参数动态搜索（SPDS）算法训练网络。

A multi-layer neural network based on Single Parameter Dynamic Search Algorithm ( SPDS ) is proposed for short term load forecasting in this paper .

本文将参数a看作是具有灰色特性的灰参数，提出了灰参数GM（1,1）模型，并将该模型运用于中长期电力负荷预测的实例中，取得了较好的结果。

The parameter α was considered as a grey parameter with grey characteristic in the paper and the GM ( 1,1 ) model with grey parameter was put forward to be applied in a long-term power load forecasting example . The result turns out well as expected .

本文介绍了开发电力负荷预测分析系统的主要技术，系统集成了人工神经BP算法和支持向量机SVM两种预测方法，运用多元回归模型和时间序列模型建立电力负荷中期预测模型。

The technologies used to develop electric load prediction analysis system are presented in this paper . Two prediction methods , artificial neural network BP algorithm and support vector machine are integrated in the system , taking multi-variate regression and time series to build mid-term electric load prediction model .

基于蚁群聚类-Elman神经网络模型的短期电力负荷预测

Ant colony clustering-Elman neural network based model for short-term load forecasting

电力负荷预测软件在晋中地区的应用

Application of Electric Power Forecast Software in Jinzhong Electric Power System

基于经验模式分解与人工神经网络的短期电力负荷预测

Short-term power load forecasting based on empirical mode decomposition and ANN

短期电力负荷预测的模糊神经网络方法

Application of Fuzzy-Neural Network to Short-Term Forecast of Electric Power Load

基于优化决策树的短期电力负荷预测研究

Research on Short-Term Electricity Load Forecasting Based on Optimized Decision Tree

日电力负荷预测是电力市场运营的基本内容。

Daily load forecasting is a basic role of power market .

基于竞争分类的神经网络短期电力负荷预测

Short-time load forecasting using neural network based on competitive learning classification

基于人工免疫算法的电力负荷预测综合模型

Comprehensive model of power load forecasting based on artificial immune algorithm

长期电力负荷预测及相关因素不确定性的影响

Long-term Load Forecasting and Effects of Uncertainty in Related Elements

基于关联分析的多因素电力负荷预测灰色模型群研究

Grey load forecasting models based on relational analysis of multi-factor

基于决策树和专家系统的短期电力负荷预测系统

Electric load forecast based on decision tree and expert system