Power transmission line icing type prediction method based on deep learning
A transmission line, deep learning technology, applied in neural learning methods, biological neural network models, special data processing applications, etc. The effect of enriching forecasting tools
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[0032] Such as figure 1 As shown, a kind of prediction method of transmission line icing type based on deep learning of the present invention comprises the following steps:
[0033] Step 1. Obtain historical sounding data: The high-altitude meteorological observatory releases sounding balloons twice a day. The balloon sounding data contains meteorological information such as temperature and dew point temperature at different altitudes of the sounding activity. at time S 0 Not started and S e As the end time, obtain the daily sounding data of upper-air meteorological observatories during this period. Since the ascent speed of the sounding balloon and the pressure height at the time of the final detection data are uncontrollable, it is necessary to limit the research data to a certain range of pressure height to facilitate data analysis and comparison. For this purpose, set the highest and lowest barometric altitudes relative to the ground, which are recorded as [H 0 ,H]. ...
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