区域电力负荷具有特殊的变化规律。
Area electric power charge is variable peculiarly with periodic fluctuation.
本文介绍了电力负荷的工频控制技术。
The industrial frequency control technique lor power load control is introduced .
电力负荷的谐波响应可以用其集总效应来描述。
The harmonic response of electric loads can be characterized by their aggregate effect.
年电力负荷具有稳定增长的趋势成分和随机成分。
Annual electricity load includes some steady increase trend components and some stochastic components.
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.
提出了一种用于短期电力负荷预报的模糊神经网络方法。
This paper presents a fuzzy neural network approach to short term load forecasting.
季节变动指数(SVI)用来拟合电力负荷的季节性趋势。
The seasonal variation index (SVI) is used to fit the seasonal trend of power load.
电动机群负荷和电解铝整流负荷是电力负荷的重要组成部分。
The load of induction motor in groups and the rectification load of aluminum plant are significant components in power load.
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.
电力负荷的混沌预测是建立在重构电力负荷序列的相空间基础之上的。
The chaotic forecasting of power load is based on reconstructing phase space of the power load series.
现有的电力负荷监控系统功能单一，已不能满足现代电力管理的要求。
Function of the existing power load monitoring system now we have is so single, can't satisfy the request of modern management of electric power.
掌握电力负荷特性的变化规律和发展趋势是建立负荷预测模型的关键。
Grasping the change rule and trend of power load characteristic is the key to establish load forecasting model.
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.
根据形势的需要，重庆市电力负荷控制系统改造成重庆电力负荷管理系统。
According to the need of situation, Chongqing electric power load system was reconstructed into Chongqing electric power management system.
在电力系统中，谐波是由于某些类型的电力负荷影响电压和电流而出现的。
Harmonics are electric voltages and currents that appear on the electric power system as a result of certain kinds of electric loads.
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.
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.
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.
电站电力负荷表，安装报告和试验报告要与整套备件和电工工具清单单一起提交。
The load balance table of the power plant and the reports of installation and trial will be supplied together with a complete list of spare parts and tools.
电力负荷系统是典型的灰色系统，电力负荷特性指标的预测具有直接的经济意义。
Electric load system is a typical grey system and the forecast for the inder of electric load characteristics has a directly economical meaning.
因此，对电力大客户的负荷管理研究也就成为加强电力负荷平衡管理研究的重点。
Therefore, the research into management over the key account's electricity load is the centre of research on strengthening the load balance management.
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.
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.
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.
该设计方案已在电力负荷管理系统中得到应用，并在实际应用中验证了设计方法的正确性。
The design scheme has got application in an electrical load management system, and it proves that the correctness of design method is verified in practice.
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.
电力负荷猜测具有需要猜测的数据个数多、影响猜测的物理因素复杂且猜测精度要求高等特点。
Power load forecasting with characteristic that the number of the data, affect the forecast of physical factors is complex and request high precision.
应用推荐