Publisher： Trans Tech Publications
E-ISSN： 1662-7482|2015|713|1431-1435
ISSN： 1660-9336
Source： Applied Mechanics and Materials, Vol.2015, Iss.713, 2015-02, pp. : 1431-1435
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Abstract
Because small value and rapid changes, bus load is severely affected by meteorological factors. The article focuses on the precipitation, the average pressure, the average wind speed, the average temperature and the average relative humidity, and identifies the meteorological mutations. In the case when there is no mutation, predict the load trends based on the Single Exponential Smoothing method, otherwise, if there exists meteorological mutation, use SVM model to predict the load, as well as in the event of extreme weather conditions, start the emergency warning plan. By the case study of the No.1 main transformer of certain area in Jiangsu Province, the result shows that this method has good prediction results.
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