Abstract
The annual electric power consumption is one of the most important factors in operation decisions of Chinese electric power generation groups. The grey model is feasible method to deal with this trend extension problem with few data. But the simple approximation in dispersing the first order differential equation affects it forecasting precise. Based on adjusting the positions of each particle, the global best optimization method could search the best proportion point. This could improve the forecasting results in the practice of annual electric power consumption.
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