日电力负荷预测是电力市场运营的基本内容。
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.
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.
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.
电力负荷预测是电力控制及运行方面的最重要的一项任务。
Power load forecasting is the most important task in the power control and running.
电力系统规划由电力负荷预测、电源规划和电网规划构成。
Power load forecasting is the base of electrical power system planning.
实例分析表明，物元分析方法用于电力负荷预测是有效的。
The case proved that the prediction model based on the matter elements is an effective method in the load prediction.
根据电力负荷预测的特点，提出遗传神经网络负荷预测模型。
According to the trait of the power load forecasting. this paper proposes the genetic neural network load forecasting model.
电力负荷预测的准确性对于电力系统的合理规划与建设意义重大。
The accuracy of power load forecasting is significant to the reasonable planning and construction of power system.
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.
电力负荷预测是一个包含空间、时间、属性等多维度多级别的复杂体系。
Electrical load forecasting is a complicated multilevel system including dimensions of space, time, attributes, etc.
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.
以武汉地区的月电力负荷预测为算例说明证明了该模型的有效性与可行性。
Take power load prediction by month in Wuhan for example to demonstrate the feasibility and effectiveness of this model. 3 it researched the theory of load management thoroughly.
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.
因此，为了准确进行负荷预测，最好采用模糊预测来研究和处理电力负荷预测。
Therefore, it would be the best to research and process the load forecast by fuzzy forecasting.
电力负荷预测是电力系统调度、用电、计划、规划等管理部门的重要工作之一。
Electric power system load forecasting is one of important operations in dispatching, demanding, scheduling and planning of power system management sectors.
算例分析表明，应用粗集理论解决数据不确定性影响下的电力负荷预测是可行的。
The analysis of the calculation examples shows that it is feasible to forecast the power load under the effect of data uncertainty by rough set theory.
算例分析表明，应用粗集理论解决数据不确定性影响下的电力负荷预测是可行的。
On the basis of practical examples and by use of rough set theory, a complete procedure of power load forecasting includin…
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.
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.
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.
因此，提高中长期电力负荷预测精度，对于保障电网安全、经济、优质运行具有重要意义。
Therefore, raising the precision of the medium arid long term power load forecast is of great significance to ensure security, economy and the excellent operation of power grids.
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.
为提高电力推进船舶电力负荷预测精度，提出电力推进船舶电力负荷的多变量混沌局部预测。
Chaotic local forecasting of multivariate time series based on electric propulsion ship power load was proposed for improving the forecasting accuracy of electric propulsion ship power load.
详细综述了BP网络、R BF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.
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.
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.
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