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.
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 architecture and implementation of an auto-operating short-term load forecasting system for Shenzhen power network is resumed.
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。
Based on local linear prediction model of chaotic time series, short-term load forecasting method on multi-embedding dimension is presented.
建立了基于该优化算法的短期负荷预测模型，利用贵州电网历史数据进行短期负荷预测。
The short-term load forecast model was established based on the AVCPSO-RBF algorithm. Using the method and history load data of Guizhou power system, the short-term load forecasting was carried out.
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。
Results show that short-term load forecasting by the developed method is sample, fast and accurate, which can be implemented on a personal computer.
研究了负荷时间序列波动性，考虑方差时变特征，提出了基于随机波动（SV）模型的短期负荷预测方法。
The volatility of load time series is analyzed, and the short-term load forecasting based on SV(Stochastic Volatility) models is presented with the consideration of the time-varying characteristics.
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.
提出一种基于资源分配网络 （ resource-allocating network，RAN）的短期负荷预测方法。
This paper presents a new short-term load forecasting method based on resource-allocating network (RAN).
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。
Practical operation results show that the cluster analysis method can considerably improve the accuracy of short-term load forecasting.
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.
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。
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.
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.
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。
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.
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 paper presents a short term load combined forecasting model using the simple average and weighted optimum combination principles.
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.
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 hybrid method based on chaos and neural network was used in the study of the electric power system short-term load forecasting.
本文依据陕西省天然气管网系统的历史数据，对天然气管网系统稳动态仿真和天然气短期负荷预测进行了研究。
Based on historical data of Shaanxi natural gas network system, static and dynamic simulation and load forecasting of natural gas system has been researched in this thesis.
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.
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.
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.
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.
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.
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.
提出了扩展短期负荷预测的原理，即在已知当日部分负荷的条件下，引入最新获得的负荷相关信息，预测当日未知的多点负荷。
The principle of extension short-time load forecast was put forward, that is forecasting unknown load point by adding information of new load point to the point, the load was known.
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。
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.
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。
Based on the development of Guangzhou power short term load forecast system, a feasible forecast model is designed.
本文分别对人工神经网络(ANN)在短期负荷预测和中长期负荷预测中的应用进行了分析、对比。
In this paper, the application of artificial neural network (ANN) for short - term load forecasting and mid - long - term load forecasting are analyzed and compared.
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 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 results of practical calculation examples show that the accuracy of forecasted short-term load can be improved by the proposed method.
应用推荐