Multi-dimensional expansion prediction method and device for non-stationary time series data
A technology for time series and forecasting methods, applied in the field of multi-dimensional expansion forecasting of non-stationary time series data, can solve problems such as processing, incompetence in time series forecasting tasks, lack of modeling, etc., to achieve the effect of strong expression ability
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[0033] Example 1:
[0034] The present invention is realized through the following technical solutions, such as figure 1 As shown, a multi-dimensional extended forecasting method for non-stationary time series data includes the following steps:
[0035] Step S1: Collect original meter reading data, process the original meter reading data, and expand the data dimension to construct a meter reading data set.
[0036] The original meter reading data of the collected meter is composed of the remote data of the meter and the manual meter reading data. The original meter reading data has differences in time steps and belongs to a non-stationary time series. The dimensions of the original meter reading data are expanded, and the dimensions of the expanded original meter reading data include meter number, meter reading time, and meter reading.
[0037] Perform granular processing on the meter reading time of the expanded original meter reading data, align the remote transmission data and manu...
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