The recursive neural network based nonlinear approaching ARMA model is adopted for short-term power load prediction in this paper.
本文用递归神经网络逼近非线性ARMA模型预测电力短期负荷。
At last, summarizing the work had done, coming up with some improved proposal and introducing development possibility of short-term load forecast of power system.
最后总结了本文的主要研究工作与收获，提出了一些改进方案，并介绍了电力系统短期负荷预报的发展前景。
Looking into the present condition of power system short-term load forecast and summarizing research method in the world.
了解电力系统短期负荷预报的现状，总结国内外的研究方法。
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。
Short-term load forecasting is of great importance for electric power systems.
短期电力负荷的预测对电力系统具有重要的意义。
Based on the development of Guangzhou power short term load forecast system, a feasible forecast model is designed.
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。
Load dispatch is the main problem of short-term generation scheduling in power market.
负荷分配是编制短期发电计划所面临的主要问题。
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.
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。
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 medium and short term load forecasting system is designed for Guilin Power Network.
设计了一套桂林电网中短期负荷预测系统。
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。
In this paper, the Theory of Corrclation Analysis on Time Series is applied to very-short-term power system load forecast.
本文将时间序列相关分析理论应用于电力系统超短期负荷预报。
According to the load characteristics of Jiangsu electric power, a new short - term load forecast method based on the similar day is given and applied in the Jiangsu electric power Dispatch Center.
针对江苏电力负荷的特点，提出了一种新的基于相似负荷日的短期负荷预计方法。
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。
Electric power load forecasting, especially short-term forecasting is an important routine of the electric power utility and of great economic significance.
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。
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。
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。
Power system short-term load forecast is the basis of power system optimization running. It can affect safety property, reliability and economy of power system operation.
电力系统短期负荷预报是实现电力系统优化运行的基础，对于电力系统运行的安全性、可靠性和经济性都有显著影响。
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。
It provides the veracity basis for the electric power system short-term on load estimation.
电力系统负荷预测可分为长期、中期和短期负荷预测。
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.
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.
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。
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