| Research on power supply-demand early warning in China, firstly analyze theinfluencing factor of power supply-demand, set up an early warning index systemwhich can reflect the situation of power supply-demand sensitively based on theanalyse, and collect the historical data of various period. Secondly, selectappropriate mathemetics model to calculate these indices. Thirdly, according to thesituation of power supply-demand at various periods in China, set limits for warningstatus, and then determine the different warning degree. Finally, change the forecastinto warning degree according to warning limits preestablished.In this paper, attribute reduction method based on rough set is used to pretreatthe historical data of various period, and the forecasting model based on supportvector machine is used to calculate the power supply-demand index of warningstatus from 2005 to 2008, then forecast the situation of power supply-demandaccording to warning degree. |
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