A new method was presented for power load forecasting.
提出了一种预测电力系统负荷的新方法。
The gray model is widely applied in the day power load forecasting.
灰色模型在日常负荷预测中广泛得到运用。
Power load forecasting is the base of electrical power system planning.
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 most important task in the power control and running.
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。
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。
The paper also researches the power load forecasting and gives an analysis of a short forecasting algorithm.
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 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。
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。
On the basis of practical examples and by use of rough set theory, a complete procedure of power load forecasting includin…
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。
According to the trait of the power load forecasting. this paper proposes the genetic neural network load forecasting model.
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。
This paper studies Bayesian neural network in power load forecasting, load forecasting power of the basic concepts and methods.
本文主要研究贝叶斯神经网络在电力负荷预测中的利用，论述了电力负荷预测的根本概念和措施。
The result of predicting experiment proved that the improved power load forecasting based on time series was more efficient and more accurate.
实验证明该方法提高了电力负荷时序预测的速度和准确度。
The selection of the modeling data, the data's pretreatment of power load forecasting and their effects on forecasting precision were discussed.
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 variable selection, data preprocessing and model structure of power load forecasting, and their effects on forecasting precision are discussed.
着重论述了电力负荷预测中建模变量的选择、数据的预处理方法、模型的拓扑结构及其对预测精度的影响。
Power load forecasting with characteristic that the number of the data, affect the forecast of physical factors is complex and request high precision.
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。
Currently, there are a lot of models for power load forecasting. Only one model cannot totally reflect the changing rules and information of power load.
目前，负荷预测的模型很多，单一的一种模型不能完全反映电力负荷的变化规律和信息。
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。
Because of the existence of the indefinite factors in power load forecasting, a new load forecasting model - the fuzzy inference forecasting is presented.
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。
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。
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.
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。
The chaotic forecasting of power load is based on reconstructing phase space of the power load series.
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 method and steps of BP (Back Propagation) neural network for recognizing and forecasting power load in batch data processing of chronological sequence is presented.
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。
This paper researches in urban power network planning. It includes the load forecasting of urban power network, the site of the power stations, the transmission and distribution network planning.
本论文主要研究城市电网规划方案，包括城市电网的负荷预测、变电站所址的规划、输电网架及其配电网的规划。
Grasping the change rule and trend of power load characteristic is the key to establish load forecasting model.
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。
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 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。
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。
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。
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。
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