So the inverse DEA model can be used for short term forecasting problems.
因此逆dea模型可用于短期预测问题。
The frame of SST model adopted here is based on "the short term forecasting model of offshore SST in China seas".
采用中国近海海表面温度短期数值预报模式，将船舶测报海表面温度同化到该模型中，对SST初始场进行优化。
Once wind turbines are up and running, the forecasting focus shifts from long-term averages to short-term specifics.
一旦风轮机装好开始运转，预测的重点就会从长期均值转向短期特定值。
Practical operation results show that the cluster analysis method can considerably improve the accuracy of short-term load forecasting.
实际运行结果表明：利用聚类分析法进行负荷短期预测，短期负荷预测的精度大大提高。
Accurate short-term traffic flow forecasting is becoming a crucial step in its research, especially, for its Advanced traffic Management System and Advanced Traveler Information System research.
及时准确地进行交通流短时预测是智能交通系统，尤其是其先进的交通管理系统与先进的出行者信息系统研究的关键内容之一。
This paper presents an intelligent system for forecasting the short term load being used.
本文介绍一个正在实际使用的短期电力负荷智能预报系统。
This paper presents a fuzzy neural network approach to short term load forecasting.
提出了一种用于短期电力负荷预报的模糊神经网络方法。
In application of neural networks based short-term load forecasting model, the main problems are over many training samples, thus resulting long training time and slow convergence speed.
在神经网络负荷预测实际应用中，突出的问题是训练样本大、训练时间长、收敛速度慢。
Giving the exact initial conditions and the atmospheric and oceanic forcings, this model can be used as a short-term sea ice forecasting model in Boai sea.
如果给以合适的初始条件和大气及海洋对冰的作用力，该模型可用作渤海的短期海冰预报模型。
Seeking the causes of the chaos of load records is important to im prove the accuracy of short- term load forecasting.
研究负荷记录混沌的成因，对于提高短期负荷预报的准确率是必要的。
There are traditional model methods of forecasting short-term load, such as time series, regression analysis, and so on.
电力系统短期负荷预测使用的方法有传统建模方法，诸如时间序列、回归分析等方法。
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。
A novel short-term forecasting model of construction cost based on intelligent information processing (IIP) technology is presented.
提出了一种新的基于智能化信息处理的建筑工程造价短期预测模型。
Based on local linear prediction model of chaotic time series, short-term load forecasting method on multi-embedding dimension is presented.
基于混沌时间序列的局域线性预测模型，提出了多嵌入维的短期负荷预测方法。
The improved method was compared with the traditional method in the case of short-term forecasting for urban water consumption.
通过对城市用水量短期预测的实例研究，将改进算法与传统算法进行比较。
In addition, the fuzzy functions for specified factors are built, and in ultra short-term load forecasting the similar load days are extracted by clustering analysis.
此外建立了一些特定因素的模糊函数，在超短期负荷预测过程中采用了聚类分析法提取负荷相似日。
This paper proposes a new short-term load forecasting method based on decision-tree approaches, which could efficiently take the non-load factors' influences into account.
提出了一种基于决策树技术的短期电力负荷预测新方法，能有效地考虑非负荷因素对短期负荷预测的影响。
The paper presents an immune clustering RBF neural network (ICRBFNN) model for short-term load forecasting.
提出了一种免疫聚类径向基函数神经网络(ICRBFNN)模型来预测电力系统短期负荷。
They have developed automatic transmission sys - tems for aviation weather-data and enhanced their research into airline weather-prediction, short-term and terminal forecasting.
他们研制了航空天气情报的自动传输系统，加强了自动制作航线天气预报和短时预报与航站预报的科研工作。
Aimed at the characteristics of short-term electrical load forecasting, an algorithm based on multi-objective particle swarm optimization is proposed in the paper.
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。
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。
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 short-term load forecasting model based on SVM is presented in which the parameters in SVM are optimized by Particle Swarm Optimizer (PSO).
文章提出了PSO优化参数的SVM回归预测模型，并将其用于短期电力负荷预测。
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。
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。
An improved method for short term electric load forecasting is presented. It is based on time series methods and fuzzy logic techniques.
提出一种时间序列算法和模糊逻辑技术相结合的电力系统短期负荷预测方法。
In this paper, the application of artificial neural network (ANN) for short - term load forecasting and mid - long - term load forecasting are analyzed and compared.
本文分别对人工神经网络(ANN)在短期负荷预测和中长期负荷预测中的应用进行了分析、对比。
The typical example here is short-term demand forecasting.
这里有一个典型的例子，即短期需求预测。
The typical example here is short-term demand forecasting.
这里有一个典型的例子，即短期需求预测。
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