By use of time series and neural network the short-term wind speed forecasting is researched in which the time series model is used to select the input variables and multi-layer back propagation neural network and generalized regression neural network are used to conduct forecasting.

Forecasting study of short-term wind speed based on SVM

After a brief outline of wind characteristic studies,the paper presents a short-term wind speed simulation model based on Kaimal s wind speed power spectrum.

Comparison of city water consumption short-term forecasting methods;

Short-term Forecasting for Human Resources of PBC Based on Markov Chain Theory;

SVM-based short-term forecasting methods for summer power loads

According to some history data from a wind farm such as wind speed,temperature,wind direction,wind power and so on,a short-term forecast model based on BP neural network was set up in order to forecast wind power ahead 1 hour,2 hours,4 hours and 24 hours.

For the pursuit-evasion games with safety zone,this paper put away the assumption of whether game players are rational or not,and proposed a short-term prediction based pursuing method.

We divide the original sequence into a low frequency and several high frequency parts, then establish model Ⅰ and model Ⅱ for short-term prediction of chlorophyll-a concentration in the West Lake through BP neural networks.

With applying the method of SVM,this paper will invesigate the influential elements of electrical quantity such as the added-value of enterprises,monthly average air temperature etc,and finally confirm an effective short-term prediction method.