Prediction Model of Meteorological Grades for Electricity Production in Summer in Fuzhou
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Abstract:
An analysis is made of the meteorological elements from May to September, 1999 to 2002 in Fuzhou, such as maximum, minimum and average temperature, as well as average relative humidity, etc. It is found that the meteorological elements affect directly electricity load. The meteorological electricity load, the part of electricity load variation caused by meteorological element variation, is derived from the day-to-day electricity load data. A series of correlative indexes between electricity load and meteorological elements are computed and a meteorological electricity prediction model is established by using the regression method, which could predict meteorological electricity loads. The predicted results have passed the statistical test, and meteorological electricity load standards are established. The back-substitution check on the day-to-day meteorological electricity load grades in summer from 2003 to 2005 in Fuzhou indicates that the model performs well.
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P457
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Supported by:Beijing E-Tiller Technology Development Co., Ltd.
Supported by:Beijing E-Tiller Technology Development Co., Ltd.