Power load forecasting method
A forecasting method and power load technology, applied in forecasting, instrumentation, data processing applications, etc., can solve problems such as inaccurate analysis of power load characteristics
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[0049] Specifically, for the first implementation mode, the model matching method is used to obtain the quantitative relational expression between the annual load characteristic index and a single influencing factor. Use the single mapping formula y=y(x) to represent a certain influencing factor x (x is one of multiple influencing factors per capita GDP, home appliance reference index, primary industry, secondary industry, tertiary industry, and urbanization rate) For the relationship between the annual load characteristic index y (y is one of the annual load rate, annual peak-to-valley difference rate, average daily load rate, and annual average daily peak-to-valley difference rate), the historical data of the influencing factor x is substituted into the model library Each function model is tested separately, and the function model includes a linear function model y=ax+b, a parabolic function model y=ax 2 +bx+c, power function model y=x a +b, reciprocal function model y=a / x+...
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