Power system load forecasting using stochastic system state model identification technique is proposed.
本文将随机系统状态模型辨识技术用于电力系统负荷预报。
Power system load forecasting process, short-term forecasting, considering the weather, human comfort and other factors.
说明：电力系统负荷预测程序，短期预测，考虑天气、人体舒适度等因素。
An example of the algorithm's application in electric power system load forecasting is shown and compared with standard BP algorithm.
文中给出了这种算法在电力系统负荷预测中的实际应用，并与标准BP算法作了比较。
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.
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。
Electric power system load forecasting is one of important operations in dispatching, demanding, scheduling and planning of power system management sectors.
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。
The accuracy of power load forecasting is significant to the reasonable planning and construction of power system.
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。
Load forecasting models in power system is different due to load constitutes and modeling technique.
电力系统负荷预报模型因负荷构成及采用的建模技术不同而各异。
Power load forecasting is the basis of planning and operation of electric power system. It is also an important part of electric power market performing.
电力系统负荷预测是电力系统规划与运行的基础，是电力市场运作中的重要组成部分。
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.
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。
It sampling calculation shows that this forecasting method has high forecasting precision in the seasonal load forecasting of power system.
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。
Load forecasting is related to operation security and economical dispatching of power system , which is used to arrange the equipments dispatching and repairing .
短期负荷预测的准确与否将直接关系到电力系统的安全运行和经济调度，便于更合理地安排电网设备调度及检修计划；
Load is the foundation of power system operation and planning. Accurate load forecasting is advantageous to improving the reliability and economic effect of power system.
负荷是电力系统运行和规划的依据，准确的负荷预测有利于提高电力系统运行的经济性和可靠性。
Load is the foundation of the power system operation and planning. The precise load forecasting can improve the reliability and economy of the power system operation.
负荷是电力系统运行和规划的依据，精确的预测可提高系统运行的可靠性和经济性。
The forecasting results of a city in east China showed that, the MSE forecasting error of 96 points daily load is only about 1.78%. The method can satisfy the request of real power system well.
通过对华东某地市电网日负荷96点曲线的预测结果显示，该方法效果较好，日预测均方根误差在1.78%以内，能较好地满足实际电力系统的负荷预测要求。
The short-term load forecasting (STLF) of electric system is one of the important routines for power dispatch and utility departments.
电力系统短期负荷预测是电力系统调度运营和用电服务部门的重要日常工作之一。
As a rising technology, it has broad foreground at applying to power load forecasting system.
作为新兴的技术学科，数据挖掘在电力系统负荷预测应用方面具有广泛的应用前景。
Load forecasting is an important research content of power system planning and running, belongs to stratagem forecasting, and is a premise for reliable supplying and economic running.
负荷预测是电力系统规划和运行研究的重要内容，属于战略预测，是保证电力系统可靠供电和经济运行的前提。
A new annual power load forecasting method is proposed based on orthogonal design and grey system theory in this paper.
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。
The architecture and implementation of an auto-operating short-term load forecasting system for Shenzhen power network is resumed.
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 hybrid algorithm can be effectively used in short time load forecasting of the power system.
该算法可有效用于电力系统的短期负荷预测。
A load forecasting system of district power network is researched and developed to meet the requirement of district dispatch center.
根据地区调度中心的需求，研究并开发了一个地区电网负荷预测系统。
A hybrid method based on chaos and neural network was used in the study of the electric power system 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。
Short-term load forecasting is the foundation of Auto Generation Control (AGC). And it is needed in running and economic distributing of power system.
超短期负荷预测将成为AGC（自动发电控制）实用化的基础，同时也是动态经济调度和电力市场运行所需的基本信息。
A novel method called load derivation is introduced for ultra-short term load forecasting of power system.
负荷求导法是超短期电力负荷预测的一种新方法。
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.
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。
Processing historical load data is first to solve the problem in improving the load forecasting accuracy in power system.
对历史负荷数据进行处理是提高电力系统负荷预测精度首先要解决的问题。
The real power system ultra-term load forecasting proved that effectiveness of the method from the paper in the improvement of the precision of ultra-short term load forecasting.
经实际电网超短期负荷预测检验，论文所提方法能有效提高超短期负荷预测精度。
The real power system ultra-term load forecasting proved that effectiveness of the method from the paper in the improvement of the precision of ultra-short term load forecasting.
经实际电网超短期负荷预测检验，论文所提方法能有效提高超短期负荷预测精度。
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