Abstract
Based on the existing self-built point data, state-controlled point data and wind speed, pressure, precipitation, temperature, humidity and other data, a multivariate regression mathematical model is established in this paper to optimize the self-built point data. The model is optimized via data to find out the factors that have great influence on the data of self-built points and get more accurate regression equation model. After verification, it can be seen that the calibration degree of the model to the self-built point data is high.
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