Markov forecasting method has wide applications in forecasting fields.
马尔可夫预测方法在预测领域有着广泛的应用。
A new load forecasting method based on intrinsic error evaluation is proposed.
提出了一种基于内蕴误差评价的电力系统短期负荷预报方法。
The key of combination forecasting is to determine every weights of forecasting method.
组合预测的关键是确定各单一预测方法的权重。
The synthetical forecasting method is the tendency to the development of the area forecast.
综合预测法是区域预测的发展趋势。
This model achieves satisfactory results based on integrating with recurrent forecasting method.
在结合递归预测方法的基础上，该模型取得了令人满意的结果。
As a result, a practical recursive model which gives a kind of concise forecasting method is obtained.
作为结果，得到了它们的实用递推模型。在该模型中，给出了一种简洁的预测方法。
Weighted geometric means combination forecasting is a kind of nonlinear combination forecasting method.
加权几何平均组合预测为一种非线性的组合预测方法。
The forecasting result shows that season and trend mode is an effective and feasible load forecasting method.
预测结果表明季节和趋势预测模型是一种有效和可行的负荷预测方法。
The crux of applying the optimal combined forecasting method is to determine the combined weight coefficients.
应用最优组合预测方法的关键在于怎样确定组合权系数。
However, there is scarcely research on universal quantificational individual demand forecasting method until now.
但是，现有文献中至今没有发现通用的个性化需求定量预测方法的研究。
Results: The results from forecasting method were in consistent with those from experiment in two mixture systems.
结果：在两个混合体系中，预测方法与实际测得结果相符。
Anew forecasting method of wellhead injection pressure for polymer flooding is established based on Dupuit formula.
依据裘比公式建立了一种新的聚合物驱油井口注入压力预测方法。
The result of business application shows that this forecasting method have stronger forecasting capability to fish hypoxia.
业务运用结果显示，该预报方法对鱼浮头有较强的预报能力。
The economic factor forecasting method is one of the most frequently used method in the field of urbanization level forecasting.
经济因素相关分析法是城市化水平预测领域较常使用的方法之一。
Methods Using the time series analysis of cucumber downy mildew disease, to explore the forecasting method from the Angle of methodology.
方法：采用黄瓜霜霉病病情指数时间序列从方法学的角度进行预测方法研究。
The research on forecasting method of chaotic economic time series is the important part of the nonlinear chaotic economic dynamic systems.
混沌经济时间序列的预测方法研究是混沌经济非线性动力系统的重要内容。
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。
This paper attempts to use two kinds of mathematical model of grey system theory, presents a forecasting method of grey hazard of landslide.
本文试图引用灰色系统理论两种不同的数学模型，提出了滑坡灰色灾变预测法。
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。
Weight-select ion utilizing this forecasting method bears the inherent merit of self-adaptation, thus the better forecasting value is obtained.
由于用自适应过滤法进行预测，权值的选择具有自适应性，因而能得到较好的预测值。
Parameters of aircraft effectiveness is analyzed, and a new effectiveness forecasting method based on partial least-square regression is proposed.
通过实例与神经网络法的结果进行了比较，结果表明偏最小二乘回归更精确和简单。
The forecasting result of actual order data demonstrates the order forecasting method presented is superior to the traditional forecasting technique.
验证结果表明所提出的订单预测方法比传统使用单一时间序列方法的预测结果精度更高。
The forecasting method based on non linear chaotic model is not only reliable to small data sets, but also of little account amount and easy to handle.
这种建立在非线性混沌改进模型基础上的预测方法不仅对小数据组可靠，而且计算量小、相对容易操作。
Weighted harmonic means combination forecasting based on degree of reciprocal grey incidence is a new kind of nonlinear combination forecasting method.
基于倒数灰色关联度的加权调和平均组合预测模型是一种新的非线性组合预测模型。
Recursive forecasting method is easy to be implemented on computer and thus makes forecasting model discovery, model selection and forecasting automatic.
递归预测法便于计算机实现，并进而进行预测模型发现，模型选择和预测的自动化工作。
The fault forecasting technique and the numerical forecasting method are studied. An algorithm is given for the neural network in the course of forecasting.
探讨了故障预报技术的应用及其数值预测方法，给出了神经网络模型在预测过程中的算法。
But, so far, the exploring of wind power forecasting is still weak, and there is almost no objective and quantitative forecasting method available in China.
中国蕴含着丰富的风能资源，但目前我国在风能预报方面的研究还很薄弱，几乎没有可用于风电场风能的客观、定量化的预报方法。
But, so far, the exploring of wind power forecasting is still weak, and there is almost no objective and quantitative forecasting method available in China.
中国蕴含着丰富的风能资源，但目前我国在风能预报方面的研究还很薄弱，几乎没有可用于风电场风能的客观、定量化的预报方法。
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