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。
It is not necessary to assume the concrete stochastic process model for a repairable system when we estimate the failure hour by means of the grey forecasting model.
认为运用灰色预测模型来估计可修复系统的故障时刻，不必假定系统的随机过程模型。
The method of combination of hydrological with hydraulic methods and deterministic method with stochastic method is used in the flood forecasting and flood management of large watershed.
采用水文学与水力学、确定与随机相结合的方法，研究大流域洪水预报与洪水调度管理。
The volatility of load time series is analyzed, and the short-term load forecasting based on SV(Stochastic Volatility) models is presented with the consideration of the time-varying characteristics.
研究了负荷时间序列波动性，考虑方差时变特征，提出了基于随机波动（SV）模型的短期负荷预测方法。
Based on the dynamic and stochastic characteristic of short-term traffic volume, an approach combined wavelet analysis and fuzzy Markov forecasting model is put forward.
基于短时交通量时间序列的随机波动特征，提出一种小波分析和模糊马尔柯夫结合的预测方法。
Forecasting research workers show solicitude for the research of forecasting method and forecasted reliability in the stochastic system.
对于新型的复杂随机系统的预测方法的研究及随机系统预测的可靠性研究是预测工作者非常关注的。
Forecasting research workers show solicitude for the research of forecasting method and forecasted reliability in the stochastic system.
对于新型的复杂随机系统的预测方法的研究及随机系统预测的可靠性研究是预测工作者非常关注的。
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