本文提出了一种新的中长期电力负荷预测方法。
This paper introduces a new method of the middle or long term electric load.
介绍了在批量处理时间序列情况下，BP神经网络辨识预测电力负荷的方法和步骤。
The method and steps of BP (Back Propagation) neural network for recognizing and forecasting power load in batch data processing of chronological sequence is presented.
针对传统灰色模型的建模机理和存在的局限性，提出了改进方法，建立了新的电力负荷预测模型。
Aiming at the modeling mechanism and limitation of traditional grey model, puts forward the improvement method, and sets up the new electric power load forecast model.
论述了电力负荷预测中建模数据的选择、预处理方法及其对预测精度的影响。
The selection of the modeling data, the data's pretreatment of power load forecasting and their effects on forecasting precision were discussed.
提出了基于联合数据挖掘技术的电力负荷优选组合预测方法。
Based on the united data mining techniques, a new method of optimum combined forecasting of power load is suggested.
最优组合预测是提高电力负荷预测精度的有效方法。
The optimal combined forecasting method is an effective method in improving the precision of the power load forecast.
针对电力负荷预测的实际困难，提出了一种以节气负荷作为建模数据，将ARIMA模型及BP网络相结合的负荷预测新方法。
Aiming at the actual difficulties in load forecasting, a new load forecasting method in which the solar term load is used as modeling data was put forward combining ARIMA model and BP network.
应用模糊可变方法对电力负荷进行了预测。
A new power load prediction model, the variable fuzzy sets method, is presented.
线性回归是电力系统中期负荷预测的常用方法。
Linear regression analysis is a most common method for mid 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.
该软件包具有人机界面友好，分析、计算快速，预测方法多样，适用范围广泛，目前已成功地应用于实际城网电力负荷预测中。
This package has a friend man machine interface, the speed of analyses and computation is very high, a variety of ways for the forecasting and an extensive application fields.
提出了一种预测电力系统负荷的新方法。
采用加权最小二乘法参数估计方法，得到应用于电力系统日负荷预测和月负荷预测的ARMA模型。
In this paper, the method of weighted least square estimate is proposed to construct ARMA model, which can be applied in power system 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.
基于正交设计和灰色系统理论，提出一种预测年电力负荷的新方法。
A new annual power load forecasting method is proposed based on orthogonal design and grey system theory in this paper.
本文主要讨论在电力负荷预测模型，它是基于支持向量机的建模方法。
The modeling method of electrical load forecasting model, which is based on SVM, is mainly discussed in this paper.
计算结果表明，用该预测方法预测电力系统季负荷具有较高的预测精度。
It sampling calculation shows that this forecasting method has high forecasting precision in the seasonal load forecasting of power system.
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.
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.
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.
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.
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.
把模糊聚类法应用在中长期电力负荷预测中，并在某城市的城网改造中，应用该方法预测未来十年内的年用电量。
This paper introduces the fuzzy clustering algorithm in the power distribution system planning of the city, and an application using it to forecast the total load of every year of the city.
通过对各种预测方法及特点的分析比较，得出用灰色模型预测方法作为地区电力负荷中期预测的方法，且该方法误差小、精度高。
By analyzing and comparing various prediction methods and their features, gray model prediction method can be used for predicting the medium-term regional electrical load.
对电力系统中期负荷预测提出了按照时间段预测趋势修正的新方法，同时提出了多阶梯中期负荷模型。
A new method of the medium term electric load forecasting according to time period forecasting tendency is given and meanwhile the multistep medium term load model is put up forward.
考虑到电力负荷预测问题中存在的不确定性，采用模糊推理预测方法进行负荷预测的研究。
Because of the existence of the indefinite factors in power load forecasting, a new load forecasting model - the fuzzy inference forecasting is presented.
根据电网负荷混沌性的特点，提出一种基于模糊支持向量的核回归方法进行电力系统的负荷预测。
According to the chaotic characteristic of power load, fuzzy support vector based kernel regression method is proposed for load forecasting.
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.
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.
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