1) super-short-term load forecasting (SSTLF)
超短期负荷预报
1.
In order to implement object-controllability and ahead control of automatic generation control (AGC), a new method of frequency bias coefficient setting is proposed based on the multi-target optimum technology and super-short-term load forecasting (SSTLF).
为实现自动发电控制(AGC)的目标可控性和超前控制,提出了一种应用多目标最优化技术和超短期负荷预报的频率偏差系数确定方法。
2) short-term load forecast
短期负荷预报
1.
Research on Power System Short-term Load Forecast;
电力系统短期负荷预报方法研究
2.
The search status of power network short-term load forecasting was introduced first,and the feasibility and problem that neural network was used in power network short-term load forecasting were introduced.
电力系统负荷预报研究现状,介绍了神经网络方法应用于电力系统短期负荷预报的可行性及存在的问题。
3) short term load forecasting
短期负荷预报
1.
This paper presents a short term load forecasting approach using artificial neural network based on fuzzy set.
提出了一种简洁实用的基于模糊集的神经网络电力系统短期负荷预报方法 ,计及了天气和日期特征量 ,具有较高的预测精度。
2.
Since pondered weather variables and date variables, the presented model for short term load forecasting using ANN is better in respects of training time and forecasting accuracy Two algorithms are used to train ANN in order to acquire more better results.
提出的基于MATLAB神经网络工具箱的短期负荷预报模型 ,不仅简洁实用 ,而且涉及了天气和日期特征量 ,因而具有较高的预测精度 采用两种学习算法 ,用实际数据对ANN进行了训练 ,通过比较得出了优化模型 计算实例表明用该方法是可行的、有效
3.
The state of the art in short term load forecasting which is the prediction of the load over an interval ranging form one hour to one week is revealed in this paper.
展示了从１小时至１周内电力系统短期负荷预报模型与方法的现状及最新发展，讨论了两类八种模型的主要特性，指出了提高负荷预报精度的途径，并给出了有关的结论。
5) very short-term load forecasting
超短期负荷预测
1.
And a method for very short-term load forecasting is presented based on the local shape similarity.
在对电力负荷局部特性分析的基础上,定义了一个描述负荷序列形状相似程度的指标——负荷曲线形系数,提出了一种基于局部形相似的超短期负荷预测方法。
6) ultra-short term load forecasting
超短期负荷预测
1.
A ultra-short term load forecasting method based on autoregression;
基于自回归模型的超短期负荷预测方法
2.
A novel method called load derivation is introduced for ultra-short term load forecasting of power system.
仿真表明了改进模型的有效性和算法的可行性,对于超短期负荷预测这类需要反应迅速的问题,采用本文提供的方法进行预测是可靠且非常有效的。
3.
This paper applies cluster analysis theory in analyzing load tendency through discussion on the main problems existing in ultra-short term load forecasting, and presents a fixed cluster load forecasting method firstly.
分析了当前超短期负荷预测中存在的主要问题;在对大量历史负荷观测的基础上,提出并应 用聚类分析理论进行负荷变化趋势分析;通过分析,在固定分类预测算法的基础上,提出了动态分 类预测算法,该方法能够根据预测目标自动调整预测样本;大量的模拟测试表明,改进后的预测方 法能够在无需频繁维护样本的情况下,大幅提高超短期负荷预测精度,尤其是对节假日负荷预测, 效果更为明显。
补充资料：短期天气预报(见天气预报和天气图预报)
短期天气预报(见天气预报和天气图预报)
u。。，，，:‘，anq，yubao短期天气预报见关匀布绍升，二，二一一
说明：补充资料仅用于学习参考，请勿用于其它任何用途。
参考词条